Major in Computer Information Systems BBA at Baruch College Concentration in Data Analytics
Credits required to complete this program: 78
A minimum GPA of 2.00 is required for courses in this Concentration.
No more than 9 transfer credits may be applied to this Major.
The courses listed within the black boxes are the requirements to complete the program you have selected.
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transferring from, to review any courses that can be taken to satisfy these requirements.
These requirements are based on the Degree Works programming used by Baruch College for determining
financial aid eligibility and graduation requirements. If there are any differences between what you
see here and the college bulletin, please let us know. In all cases, the college bulletin is the
definitive source of information about requirements.
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All colleges have a general residency requirement as well as a 'Major Residency' requirement. For example, if a major is 40 credits, most colleges will require that at least 20 of those credits are taken "in residence" AKA after you transfer.
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Recently offered courses on
Baruch College Courses
Choose One of Three Choices.
(Any 1 of 3 groups required)
Group #1 - Algebra & Pre-Calculus(2 classes required)
MTH 1023: Intermediate and College Algebra
Prerequisite: Placement in M100, CSTM 120, or MTH 1023 or Passing grade on FSPM 0100.
Credits: 2
Hours: 0.0 Recitation hours, 4.5 Lecture hours
This course develops the algebraic topics that are needed for most basic quantitative courses at the college, including factoring, quadratics, linear equations, rates of change, rational and irrational expressions, functions and their graphs, non-linear systems of equations and related applications.Note: Students who fail MTH 1023 in the spring semester have the option of taking courses in the Immersion Summer Program or in the regular summer session, and may complete coverage of the content of MTH 1023 by completing FSPM 0121 and either FSPM 1031 or MTH 1030. Consequently, either FSPM 1031 or MTH 1030 may be used toreplace the F grade in MTH 1023.
Prerequisites: MTH 1023, FSPM 1023, or placement into MTH 2009T. This course is not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above.
Credits: 3
Hours: 4.5 Lecture hours
This course integrates material from pre-calculus with introductory topics from applied calculus, including a detailed study of functions, limits and continuity, the circle, tangent lines, rates of change, differentiation of algebraic functions, matrices, and systems of linear equations. Applications from economics and finance will be included and the use of the TI 89/92 calculator as well as Excel will be required. Students may receive credit for MTH 2009 or MTH 2003, not both. These courses may substitute for each other in the F-grade replacement policy. This course is also not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above.NOTE: The policy on repeating courses covers any combination of MTH 2009 and MTH 2003, e.g., one course taken three times, or a one-and-two combination. All combinations will be treated identically as three attempts.
Prerequisites: MTH 1023, FSPM 1023, or placement into MTH 2009T. This course is not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above.
Credits: 3
Hours: 4.5 Lecture hours
The course content is identical to MTH 2009: it integrates material from pre-calculus with introductory topics from applied calculus, including a detailed study of functions, limits, and continuity, the circle, tangent lines, rates of change, and differentiation of algebraic functions. Applications from economics and finance will be included and the use of the TI 89/92 calculator will be required. MTH 2009T is a six-hour course that includes additional instructional time with the mathematics professor. Students may receive credit for MTH 2009T, MTH 2009, or MTH 2003. These courses may substitute for each other in the F-grade replacement policy. This course is not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above. NOTE: The policy on repeating courses covers any combination of MTH 2009, MTH 2009T, and MTH 2003, e.g., one course taken three times, or a one-and-two combination. All combinations will be treated identically as three attempts.
Group #2 - Algebra & Pre-Calculus(2 classes required)
MTH 1030: College Algebra
Prerequisite: You must have completed CSTM 0120 or have a valid placement for MTH 1030 in order to register.
Credits: 2
Hours: 4.0 Lecture hours
This course develops the algebraic topics that are needed for most basic quantitative courses at the college, including linear equations, rates of change, rational expressions, functions and their graphs, Exponential and logarithmic functions, non-linear systems of equations and related applications. This course is not part of the Common Core Curriculum.
Prerequisite: 'C' or better in MTH 1030 or by Placement Exam. Not open to students who completed MTH 2000 or MTH 2001.
Credits: 3
Hours: 4.0 Lecture hours
This course will integrate material from precalculus with introductory topics from applied calculus, including a detailed study of functions, limits and continuity, the circle, tangent lines, rates of change, differentiation of algebraic functions, matrices and linear systems of equations. Applications from economics and finance will be included, and the use of the TI 89/92 calculator will be required. (Not open to students who have completed MTH 2000, 2001, 2205, 2206, 2207, 2610, 2630, or any course at the 3000 level or above.)
Prerequisite : MTH 1030; or placement into MTH 2001, MTH 2003, or MTH 2009; or departmental permission. Not open to students who have completed MTH 2000, 2002T, 2003, 2004, 2005, 2009, 2009T, 2010, 2205, 2206, 2207, 2600, 2610, 2011, 2630, or any mathematics course at the 3000 level or above.
Credits: 3
Hours: 4.0 Lecture hours
This course introduces the student to techniques of algebra, trigonometry, and other topics necessary for the study of calculus as well as quantitative courses in allied disciplines. Topics to be covered include advanced topics in algebra, analytic geometry of straight lines and conic sections, analytic trigonometry, exponential and logarithmic functions, and theory of algebraic equations. Not open to students who have completed MTH 2000, 2002T, 2003, 2004, 2005, 2009, 2009T, 2010, 2205, 2206, 2207, 2600, 2610, 2011, 2630, or any mathematics course at the 3000 level or above.
Prerequisite: 'C' or better in MTH 1030 or by Placement Exam. Not open to students who completed MTH 2000 or MTH 2001.
Credits: 3
Hours: 4.0 Lecture hours
This course will integrate material from precalculus with introductory topics from applied calculus, including a detailed study of functions, limits and continuity, the circle, tangent lines, rates of change, differentiation of algebraic functions, matrices and linear systems of equations. Applications from economics and finance will be included, and the use of the TI 89/92 calculator will be required. (Not open to students who have completed MTH 2000, 2001, 2205, 2206, 2207, 2610, 2630, or any course at the 3000 level or above.)
Prerequisites: MTH 1023, FSPM 1023, or placement into MTH 2009T. This course is not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above.
Credits: 3
Hours: 4.5 Lecture hours
This course integrates material from pre-calculus with introductory topics from applied calculus, including a detailed study of functions, limits and continuity, the circle, tangent lines, rates of change, differentiation of algebraic functions, matrices, and systems of linear equations. Applications from economics and finance will be included and the use of the TI 89/92 calculator as well as Excel will be required. Students may receive credit for MTH 2009 or MTH 2003, not both. These courses may substitute for each other in the F-grade replacement policy. This course is also not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above.NOTE: The policy on repeating courses covers any combination of MTH 2009 and MTH 2003, e.g., one course taken three times, or a one-and-two combination. All combinations will be treated identically as three attempts.
Prerequisites: MTH 1023, FSPM 1023, or placement into MTH 2009T. This course is not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above.
Credits: 3
Hours: 4.5 Lecture hours
The course content is identical to MTH 2009: it integrates material from pre-calculus with introductory topics from applied calculus, including a detailed study of functions, limits, and continuity, the circle, tangent lines, rates of change, and differentiation of algebraic functions. Applications from economics and finance will be included and the use of the TI 89/92 calculator will be required. MTH 2009T is a six-hour course that includes additional instructional time with the mathematics professor. Students may receive credit for MTH 2009T, MTH 2009, or MTH 2003. These courses may substitute for each other in the F-grade replacement policy. This course is not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above. NOTE: The policy on repeating courses covers any combination of MTH 2009, MTH 2009T, and MTH 2003, e.g., one course taken three times, or a one-and-two combination. All combinations will be treated identically as three attempts.
This course focuses on communication skills expected of college graduates entering business fields. Students who successfully complete this course will be able to produce clear, concise, evidence-based, argumentatively sound, and persuasive professional communication of various types. The course willemphasize the importance of being purpose-oriented and audience-aware. Examples of work to be done include writing e-mails, drafting business memos, creating executive summaries, producing strategic reports, and crafting other types of internal and external business communication. Some assignments maybe related to case studies discussed in introductory business courses. In addition, students will develop good listening skills and proficiency in various interpersonal speech situations, including those involving brief interviews and small group discussions. The course will inculcate the habit of revising and editing thework one produces, while providing all students with copious opportunities for feedback from their instructor and their peers.
COM 2020H: Honors: Introduction to Business Communication
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups, and Sophomore Standing.
Credits: 3
Hours: 3.0 Lecture hours
This course focuses on communication skills expected of college graduates entering business fields. Students who successfully complete this course will be able to produce clear, concise, evidence-based, argumentatively sound, and persuasive professional communication of various types. The course willemphasize the importance of being purpose-oriented and audience-aware. Examples of work to be done include writing e-mails, drafting business memos, creating executive summaries, producing strategic reports, and crafting other types of internal and external business communication. Some assignments maybe related to case studies discussed in introductory business courses. In addition, students will develop good listening skills and proficiency in various interpersonal speech situations, including those involving brief interviews and small group discussions. The course will inculcate the habit of revising and editing thework one produces, while providing all students with copious opportunities for feedback from their instructor and their peers.
COM 3021H: Honors: Professional Speech Communication
Prerequisite: 3.5 GPA, or MHC, PROV or BSCH Honors Student Groups, and COM 2020 or [COM 1010 and (ZICK or ZKTP)].
Credits: 1.5
Hours: 1.5 Lecture hours
This is an intensive seven-and-a-half-week course designed to give students practice creating and then delivering some of the most common types of speeches or presentations that mid-level career professionals might be called upon to make in the course of their employment. Students will be required to speak each week that the class meets, and during the last half-week of class. Students will be required to revise their work in response to weekly feedback from the instructor and from their peers. Students will also be exposed to various computer-based presentational tools in this course. Note: This course is not applicable to the Communication Studies major, to the Business Communication/Corporate Communication major, or to the Communication Studies minor.
This is an intensive fourteen-week course designed to give students practice creating and then delivering some of the most common types of speeches or presentations that a mid-level career professional might be called upon to make in the course of their employment. In addition, students will build and apply key pronunciation and pragmatics strategies to improve their intelligibility. Students will be required to speak every other week of the class. Students will be required to revise their work in response to weekly feedback from the instructor and from the students peers. Students will also be exposed to various computer-based presentation tools in this course. Note: This course is NOT applicable to the Communication Studies major, to the Business Communication/Corporate Communication major, or to the Communication Studies minor.
Prerequisite: Precalculus or Math higher than precalculus or Placement into calculus
Credits: 3
Hours: 3.0 Lecture hours
The theory of pricing and distribution under various marketing conditions. Government intervention in the market. Comparison of free enterprise with alternative, existing economic systems. The department offers special sections of this course to highly qualified students. Department permission for registration in these special sections is required.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups, and Precalculus or Math higher than precalculus or Placement into calculus.
Credits: 3
Hours: 3.0 Lecture hours
The theory of pricing and distribution under various marketing conditions. Government intervention in the market. Comparison of free enterprise with alternative, existing economic systems. The department offers special sections of this course to highly qualified students. Department permission for registration in these special sections is required.
Prerequisite: Precalculus or Math higher than precalculus or Placement into calculus
Credits: 3
Hours: 0.0 Recitation hours, 3.0 Lecture hours
A study of the determinants of aggregate levels of production, employment, and prices. Impact of government spending, taxation, and monetary policy on the level of unemployment and the rate of inflation . Emphasis on the institutional framework within which monetary policy operates. The department offers special sections of this course to highly qualified students. Departmental permission for registration in these special sections is required.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups, and Precalculus or Math higher than precalculus or Placement into calculus.
Credits: 3
Hours: 0.0 Recitation hours, 3.0 Lecture hours
A study of the determinants of aggregate levels of production, employment, and prices. Impact of government spending, taxation, and monetary policy on the level of unemployment and the rate of inflation. Emphasis on the institutional framework within which monetary policy operates. The department offers special sections of this course to highly qualified students. Departmental permission for registration in these special sections is required.
This is an intensive course introducing students to writing as a means of discovery. In Writing I students practice and share their written articulation of ideas as a community of writers. Students read a variety of intellectually challenging and thematically coherent texts in a range of genres. Throughout, the emphasis is on writing and communication skills as processes involving multiple steps, including drafting, discussion, revision, and re-thinking. The work of the class is conducted in classroom, small-group, and one-on-one sessions. This course is required for all undergraduate degrees granted by Baruch College. First and foremost, ENG 2100 will be a course in written composition. The primary purpose of this course will be to enhance students' writing skills and rhetorical sophistication, particularly with regard to argumentative prose. The goal is to prepare students not only for success in academic writing but also for effective participation in and critical understanding of the public and professional discourses of the real world beyond school.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups and ENG 2100 placement.
Credits: 3
Hours: 4.0 Lecture hours
This is an intensive course introducing students to writing as a means of discovery. In Writing I students practice and share their written articulation of ideas as a community of writers. Students read a variety of intellectually challenging and thematically coherent texts in a range of genres. Throughout, the emphasis is on writing and communication skills as processes involving multiple steps, including drafting, discussion, revision, and re-thinking. The work of the class is conducted in classroom, small-group, and one-on-one sessions. This course is required for all undergraduate degrees granted by Baruch College. First and foremost, ENG 2100H will be a course in written composition. The primary purpose of this course will be to enhance students' writing skills and rhetorical sophistication, particularly with regard to argumentative prose. The goal is to prepare students not only for success in academic writing but also for effective participation in and critical understanding of the public and professional discourses of the real world beyond school.
Prerequisite: ENG 2100T Placement or Passing ENG 0132
Credits: 3
Hours: 6.0 Lecture hours
English 2100T is intended for multilingual/ multidialectal speakers of English who have met the University requirements for freshman composition but are in need of additional support in language development. The course is equivalent to English 2100, the first course in Baruch College's composition sequence. Students enrolled in the course complete the writing and composition work required in English 2100 as well as intensive instruction in language features such as sentence structure, usage, and vocabulary. Students are placed in the course on the basis of a writing sample administered at Freshman Orientation and graded by Baruch faculty. The course meets for 6 class hours and receives 3 credits.
Prerequisite: ENG 2100, ENG 2100H or ENG 2150 Placement
Credits: 3
Hours: 4.0 Lecture hours
Writing II is an intensification of Writing I. This course encourages students to read, reflect on, write about, and synthesize ideas from a range of genres and literary forms. Students examine and learn how to employ different styles, various appropriate uses of evidence and counter-evidence, multiple methods of interpretations, close readings of texts, and, finally, literary-cultural contextualizations. As the course proceeds, students further develop competency in the use and evaluation of multiple external sources as they shape and express their own ideas and cast them into well organized, thoughtful, and persuasive argumentative essays. This course is required for all undergraduate degrees granted by Baruch College. First and foremost, ENG 2150 will be a course in written composition. The primary purpose of this course will be to enhance students' writing skills and rhetorical sophistication, particularly with regard to argumentative prose. The goal is to prepare students not only for success in academic writing but also for effective participation in and critical understanding of the public and professional discourses of the real world beyond school.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups, and ENG 2100 or ENG 2100H.
Credits: 3
Hours: 4.0 Lecture hours
Writing II is an intensification of Writing I. This course encourages students to read, reflect on, write about, and synthesize ideas from a range of genres and literary forms. Students examine and learn how to employ different styles, various appropriate uses of evidence and counter-evidence, multiple methods of interpretations, close readings of texts, and, finally, literary-cultural contextualization's. As the course proceeds, students further develop competency in the use and evaluation of multiple external sources as they shape and express their own ideas and cast them into well organized, thoughtful, and persuasive argumentative essays.
This course is intended for multilingual/ multidialectal speakers of English who have met the University requirements for freshman composition but are in need of additional support in language development. English 2150T is equivalent to English 2150, the second course in Baruch College's composition sequence. Students enrolled in the course complete the writing and composition work required in English 2150 as well as intensive instruction in language features such as sentence structure, usage, and vocabulary. Students are placed in the course on the basis of teacher recommendation, usually the recommendation of their English 2100 or 2100T instructor. The course meets for 6 class hours and receives 3 credits.
Prerequisite: MTH 2003 or MTH 2009 or placement into calculus or Math higherthan precalculus.
Credits: 3
Hours: 3.0 Lecture hours
This is an introductory business statistics course that focuses on descriptivestatistics, regression, and inferential statistics. Topics covered include graphicalmethods, descriptive statistics with exploratory data analysis, linear regressionand correlation, the normal distribution and sampling distribution of the mean,estimation for means and proportions, and hypothesis testing for one and two groups. Students will use statistical software for analyzing selected data sets.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups, and MTH 2003 or MTH 2009 or placement into calculus or Math higher than precalculus.
Credits: 3
Hours: 3.0 Lecture hours
This is an introductory business statistics course that focuses on descriptivestatistics, regression, and inferential statistics. Topics covered include graphicalmethods, descriptive statistics with exploratory data analysis, linear regressionand correlation, the normal distribution and sampling distribution of the mean,estimation for means and proportions, and hypothesis testing for one and two groups. Students will use statistical software for analyzing selected data sets. Credit can be received for only one of the following: STA 2000. No credit grated if Sta 1015, 1515, 2015, or 2100 has been taken.
QNT 2020: Foundations of Predictive Analytics and Decision Modeling
Prerequisite: (MTH 2000 or MTH 2001 or MTH 2003 or MTH 2009 or MTH 2205 or MTH 2206 or MTH 2207 or MTH 2610 or MTH 3010 or placement in calculus) and (STA 2000)
Credits: 3
Hours: 3.0 Lecture hours
Description Students will develop quantitative reasoning skills necessary for success in business. Proficiency in the foundations of predictive analytics and decision modeling is the central focus. Students will learn to model a wide range of business decisions through case studies, data analysis, spreadsheet modeling, and interpretation of business significance. Students will further develop their statistical thinking skills through the study of predictive modeling for business using multiple regression. Variation, interpretation of models and model output, model building with spreadsheets, and regression assumption checking are stressed. Throughout the course, students will build quantitative literacy skills through writing about analytics, model building, and interpreting quantitative information to understand and use data in managerial decisions.
Prerequisite : One of the following math courses: MTH 2000; MTH 2001; MTH 2003;MTH 2009; MTH 2205; MTH 2207; MTH 2610; or placement in calculus
Credits: 3
Hours: 1.0 Recitation hour, 3.0 Lecture hours
ACC 2101 introduces the student to financial accounting and includes the accounting cycle, fundamental concepts of accounting for business transactions, and preparation and analysis of financial statements.
Prerequisite: [Admission to the Zicklin School of Business (ZICK) or haveZKTP] and [ACC 2101, CIS 2200, STA 2000, Sophomore Standing, and Accounting Plan]. Not open to SDEG or SDGO Student Groups.
Credits: 3
Hours: 4.0 Lecture hours
An introduction to the subject of accounting information systems, including their design, control, and use. Attention is given to control procedures and methods for manual and computerized systems by major transaction cycles.
ACC 2203: Principles of Managerial Accounting for Non-accounting Majors
Pre-requisite: [One of the following math courses: MTH 2000; MTH 2001; MTH 2003; MTH 2009; MTH 2205; MTH 2207; MTH 2610; or placement in calculus] and ACC 2101. Not open to students majoring in Accountancy.
Credits: 3
Hours: 3.0 Lecture hours
An introductory course in managerial accounting for nonaccounting majors. Emphasis is placed on the use and analysis of accounting data for management decision making. Topics covered include short-term budgeting, cost-volume-profit planning, capital budgeting, product costing, joint costs, standard costs, responsibility accounting, and the behavioral aspects of managerial accounting. Credit will not be granted for both ACC 2203 and ACC 3200.
Prerequisite: [Admission to the Zicklin School of Business (ZICK) or have ZKTP] and [ACC 3000, ACC 2101, ECO 1001, ECO 1002, STA 2000, Sophomore Standing, and Accounting Plan]. Not open to SDEG or SDGO Student Groups.
Credits: 4
Hours: 4.0 Lecture hours
This course examines the measurement of costs, the compilation of cost data, and the impact of accounting data on the allocation of resources within an organization. Topics discussed include systems for cost accumulation, joint and by-products, budgeting, standard costs, and direct costing. The course integrates materials from accounting with economic analysis, quantitative methods, and behavioral science as the course also covers capital budgeting, cost-volume-profit analysis, profit performance, regression analysis, and linear programming. Credit will not be granted for both ACC 2203 and ACC 3200.
BUS 2000: Business Fundamentals: The Contemporary Business Landscape
Antireq: BUS 2000 is not open to students who complete BUS 1011 or BUS 1000 or BUS 2000H
Credits: 3
Hours: 1.0 Recitation hour, 2.0 Lecture hours
This is a required introductory course for business majors at Zicklin School of Business, including both Zicklin students and transfer students. The course stresses five pillars essential for success in business: (1) quantitative analysis; (2) communication skills; (3) ethical decision-making; (4) research; and (5) globalization. Students will write memos and reports, make oral presentations, and use Excel to model and solve business problems. Students in the class will conduct a comprehensive research study - the Shadow-a-Company project. This research project requires students to collect and analyze comprehensive business data about a prominent company and formulate strategy for the company.The research project enhances the students understanding of real-world business, emphasizing the five pillars and problem-solving skills, using the analytical methods covered in the course.Effective Summer 2024, new, and re-entry students who have received credit for BUS 1000/1011 or granted a BUS 1000 waiver must take BUS 2000. Continuing students under the transition period (Fall 2021 to Spring 2024), will be allowed to use BUS 1011 in lieu of BUS 2000. Students who received an F in either BUS 1000 or BUS 1011 can use the passing grade in BUS 2000 under the Baruch/CUNY F-replacement policy.
BUS 2000H: Honors Business Fundamentals: The Contemporary Business Landscape
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups.
Credits: 3
Hours: 1.0 Recitation hour, 2.0 Lecture hours
This is a required introductory course for business majors at Zicklin School of Business, including both Zicklin students and transfer students. The course stresses five pillars essential for success in business: (1) quantitative analysis; (2) communication skills; (3) ethical decision-making; (4) research; and (5) globalization. Students will write memos and reports, make oral presentations, and use Excel to model and solve business problems. Students in the class will conduct a comprehensive research study - the Shadow-a-Company project. This research project requires students to collect and analyze comprehensive business data about a prominent company and formulate strategy for the company.The research project enhances the students understanding of real-world business, emphasizing the five pillars and problem-solving skills, using the analytical methods covered in the course.
CIS 2200: Introduction to Information Systems and Technologies
Prereq: FSPM/MTH 1023; or Pre/coreq: MTH 1030; MTH 2000; MTH 2001; MTH 2003; MTH 2009; MTH 2205; MTH 2206; MTH 2207; MTH 2610; OR a MTH course at the 3000-level or above; or placement in precalculus or calculus) and (Pre/co-req: BUS 1000, 1011, or 2000
Credits: 3
Hours: 3.0 Lecture hours
This course will introduce students to the use of computers and other information systems technologies in organizations. Topics covered include IT strategy, IT infrastructure and emerging technologies, telecommunications, security, privacy,and ethics, analytics, and contemporary applications of technology in organizational environments. The course will also provide students exposure to a computational-thinking approach to problem solving, a fundamental skill for all students, via hands-on experience to basic programming constructs such as control statements. Working individually and in groups, students will apply their knowledge by developing, where appropriate, applications using widely used spreadsheet and database management software. CIS 1357 may not be used in lieu of CIS2200 to satisfy the prerequisite to any intermediate or advanced CIS course. Students may receive credit for both CIS 1357 and CIS 2200.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV or BSCH Honors Student Groups; Prereq: FSPM/MTH 1023; or Pre/coreq: MTH 1030; MTH 2000; MTH 2001; MTH 2003; MTH 2009; MTH 2205; MTH 2206; MTH 2207; MTH 2610; OR a MTH course at the 3000-level or above; or placement in precalculus or calculus) and (Pre/co-req: BUS 1000, 1011, or 2000
Credits: 3
Hours: 3.0 Lecture hours
This course introduces the student to the application of information systems in organizations. Topics include Information Systems strategy, basic components of Information Technology infrastructure including hardware, software, networking and telecommunications, database management, and systems development. Students will explore the ethical and global issues that have developed with the use of information systems and will cultivate an awareness of changes in the field with the use of business periodicals.
This course provides an understanding of the nature of law and its role in business. The law of business contracts will be examined in depth. Other topics include tort liability, employment law, and bankruptcy. The course requires case analysis, problem solving, development of critical thinking skills, and oral and written communication.
Prerequisite: 3.5 GPA, or 3.3 GPA with Honors Department Permission, or MHC, PROV, or BSCH Honors Student Groups, and ENG 2100
Credits: 3
Hours: 3.0 Lecture hours
This course provides an understanding of the nature of law and its role in business. The law of business contracts will be examined in depth. Other topics include tort liability, employment law, and bankruptcy. The course requires case analysis, problem solving, development of critical thinking skills, and oral and written communication.
FIN 2000: Principles of Financial Planning and Individual Investing
Prerequisite: Sophomore Standing
Credits: 1.5
Hours: 1.5 Lecture hours
The course introduces the fundamental tools and concepts necessary to manage ones finances effectively. Students learn about the importance of saving and investing; planning for future consumption; financial institutions such as banks, broker-dealers, advisors, insurers, and exchanges; the Science of Investing,Modern Portfolio Theory, and the principle of diversification; investment vehicles for savers and investors; protecting ones self from investment fraud; borrowing money; and insurance.
Prerequisite: ECO 1001 and ECO 1002 and (STA 2000 or MTH 4120 or MTH4119) and (precalculus or math higher than precalculus or placement into calculus) and ACC 2101 and (intended/official BBA or intended/official Actuarial Sci or intended/official Fin Math major)
Credits: 3
Hours: 3.0 Lecture hours
This course provides students with a rigorous introduction to the fundamental principles of finance. The primary concepts covered include the time value of money, principles of valuation and risk, and the nature and characteristics of domestic and international financial securities and markets. Specific applications included the valuation of debt and equity securities and capital budgeting analysis.
Prerequisite: 3.5 GPA, or MHC, PROV or BSCH Honors Student Groups, and ECO 1001 & ECO 1002 & (STA 2000 or MTH 4120 or MTH 4119) & (precalculus or math higher than precalculus or placement into calculus) & ACC 2101 & (BBA or intended/official Actuarial Sci or intended/official Fin Math major).
Credits: 3
Hours: 3.0 Lecture hours
This course provides students with a rigorous introduction to the fundamental principles of finance. The primary concepts covered include the time value of money, principles of valuation and risk, and the nature and characteristics of domestic and international financial securities and markets. Specific applications included the valuation of debt and equity securities and capital budgeting analysis. This honors course in Principles of Finance is open to students in honors program (program code H) and to other qualified students with a minimum cumulative GPA of 3.4.
Prerequisite: [ENG2100, ECO1001, ECO1002, STA2000, ACC2101, soph status, and (ZICK/ZKTP stdnt grp)] or [Official BusCom-BA, Official MusicMgt-BA, NBHR Minor, or HR minor for PSY-BA majors] OR [Prereq: 60 credits, 2.3 GPA in the 8 pre-bus courses, COM 1010, ENG 2150 and 2.3 overall GPA]
Credits: 3
Hours: 3.0 Lecture hours
This course provides a framework for understanding the opportunities and challenges impacting managers and how they conduct business. Management is about working with teams of employees to achieve organizational goals andperforming the work effectively and efficiently. Successful management requires managers to master the four main functions of management: planning, organizing, leading, and controlling. Managing these functions is essential for achievingimportant organizational goals. Students will learn the skills needed to manage people in the changing demands of a global environment, emphasizing theroles and challenges of managing a diverse workforce, increasing ethical awareness and social responsiveness, developing commitments to quality 35and productivity, and developing decision-making and interpersonal team building skills. The course aims to increase the students' self-awareness, foster critical-thinking skills, and analyze, solve, and communicate solutions to the practical problems faced by managers. Using an experiential learning method, students will focus applying key principles to the human side of management through role-playexercises, simulations, expert talks, and group projects.
Prerequisite: 3.5 GPA, or MHC, PROV or BSCH Honors Student Groups, and ENG 2100, ECO1001, ECO1002, STA2000, ACC2101, soph status and ZICK or ZKTP or BUSCOM-BA Plan or MSCMGT-BA Sub Plan or NBHRPS-MIN Plan or NBHR-MIN Plan or PRE/COR: 60 credits, 2.3 GPA in the 8 pre-business courses, COM 1010, ENG 2150 and 2.3 overall GPA.
Credits: 3
Hours: 3.0 Lecture hours
This course traces the historical, developmental, and contemporary aspects of management. Qualitative as well as quantitative concepts, tools, techniques, and classes are introduced. In addition, the role of the manager as a decision-maker in a dynamic environment is examined.
Prerequisite: [ENG2100, (pre-calc or higher lvl math or calc plcmnt), soph status, and(ZICK/ZKTP stdnt grp)] or [Official BusCom-BA, Official MusicMgt-BA, orNBMKT minor] or [Prereq: 60 crds, COM1010, ENG2150, 2.3 GPA overall andin 8 pre-b courses]
Credits: 3
Hours: 3.0 Lecture hours
This course introduces students to the fundamental concepts and principles ofcontemporary marketing. Upon completion, students will be able to: (a) explain the essential role of marketing in business and (b) develop a comprehensive marketing plan for a product or service by using the building blocks of marketingstrategy (segmentation, target marketing, and positioning) and the elements of the marketing mix (product, price, communication, and distribution) in an effective manner. Students will learn to identify marketing problems, analyze the situation based on relevant information and sound marketing principles, recommendimplementable solutions, and communicate these effectively and persuasively.
Prerequisites: 3.5 GPA, or MHC, PROV or BSCH Honors Student Groups, and [ENG2100, (pre-calc or higher lvl math or calc plcmnt), soph status, and (ZICK/ZKTP stdnt grp)] or [Official BusCom-BA, Official MusicMgt-BA, or NBMKT minor] or [Prereq: 60 crds, COM1010, ENG2150, 2.3 GPA.
Credits: 3
Hours: 3.0 Lecture hours
This course focuses on the methods, policies, and institutions involved in the flow of goods and services from the producer to the consumer.
Prerequisite: (ZICK or ZKTP) and (ECO 1001, ECO 1002, and STA 2000)
Credits: 3
Hours: 3.0 Lecture hours
This is an introductory course intended to provide the student with a mix of theoretical and practical knowledge about managing service operations in businesses such as financial services, retail hospitality, healthcare, transportation, and small business. This course is organized around principles including the strategic role of operations for competitiveness and sustainability, and the design of processes, service offerings, and supply chains. Students will learn the use of tools and techniques for planning, control, and continuous improvement of service delivery processes.
Prerequisite: 3.5 GPA, or MHC, PROV or BSCH Honors Student Groups, and (ZICK or ZKTP) and (ECO 1001, ECO 1002, and STA 2000).
Credits: 3
Hours: 3.0 Lecture hours
This is an introductory course intended to provide the student with a mix of theoretical and practical knowledge about managing service operations in businesses such as financial services, retail hospitality, healthcare, transportation, and small business. This course is organized around principles including the strategic role of operations for competitiveness and sustainability, and the design of processes, service offerings, and supply chains. Students will learn the use of tools and techniques for planning, control, and continuous improvement of service delivery processes.
Prereqs:1. Enrolled or completed major capstone, https://bit.ly/BPL51002. Completion of 105 credits3. ACC2203 (or ACC3200), FIN3000, MGT3120, OPM3000 (or MGT3121) & MKT30004. ZICK & ZK4L/ZK4P stdnt grp: details, https://bit.ly/4000-level-bus-courses
Credits: 3
Hours: 3.0 Lecture hours
An interdisciplinary course concentrating on the problems that confront the chief administrative officers of an enterprise. The course stresses the overall company point of view in dealing with top management problems. Working in teams designed to represent the executive management of competing companies, students are confronted with the tasks of analysis and decision-making in a variety of case studies. An integral part of this course involves participation in a computerized interactive business simulation. Open only to graduating seniors. (This course is under the direct supervision of the Department of Management.)
Prerequisite: 3.5 GPA, or MHC, PROV or BSCH Honors Student Groups.1. Enrolled or completed major capstone, https://bit.ly/BPL51002. Completion of 105 credits3. ACC2203 (or ACC3200), FIN3000, MGT3120, OPM3000 (or MGT3121) & MKT30004. ZICK & ZK4L/ZK4P stdnt grp: details, https://bit.ly/4000-level-bus-courses
Credits: 3
Hours: 3.0 Lecture hours
An interdisciplinary course concentrating on the problems that confront the chief administrative officers of an enterprise. The course stresses the overall company point of view in dealing with top management problems. Working in teams designed to represent the executive management of competing companies, students are confronted with the tasks of analysis and decision-making in a variety of case studies. An integral part of this course involves participation in a computerized business game. Registration for BPL 5100 is open only to graduating seniors.
Computational thinking is a fundamental skill for everyone, irrespective of the discipline, for whom the focus is on solving problems. The goal of this course is to equip students with the basic ability to use computational principles such as abstraction, decomposition, and divide and conquer. The course will introduce students to basic programming constructs (such as control statements) and data structures to facilitate learning of these computational principles. This course is intended forstudents with little or no computing background. Note: Students cannot get credit for both CIS 2300 and MTH 3300 (Algorithms, Computers, and Programming I). CIS majors will be required to take an additional CIS course if receiving credit for MTH 3300 to satisfy 24-credit requirement for the CIS major.
Prerequisite: CIS 2300 or MTH 3300, No ZICK or ZKTP code required
Credits: 3
Hours: 3.0 Lecture hours
This course introduces the aspects of programming that can support business analytics. The course introduces students to programming (using a language such as python) and its uses in business analytics. The course covers hands-on issues in programming for analytics which include accessing data, creating informative data graphics, writing functions, debugging, and organizing and commenting code.
Prerequisite: (CIS 2200 & ZICK/ZKTP stdnt grp) or (STA BA Plan with 45 credits) Or (TechBus&Internet Business Minor & CIS 2200 & BUS 2000 or equivalent) or [CompSci-BS major & (CIS 2300 or MTH 3300)]
Credits: 3
Hours: 3.0 Lecture hours
This course provides students with the background to design, implement, and use database management systems. It introduces the structures, requirements, functions, and evolution of database management systems. After covering conceptual data modeling and the entity relationship data model, the course focuses on the relational data model. Students learn commercial relational database implementations using languages such as Query By Example (QBE) and Structured Query Language (SQL). Concepts including data integrity, security, privacy, transaction processing, and ethical stewardship of data are introduced. Students implement a major database application project.
Data Mining is the process by which useful information is extracted from large amounts of data. This course is designed to provide students with the necessary tools and techniques to perform data mining and business analytics. This course is intended as an introductory module targeted at individuals who plan to work with data (modeling, data management) as well as towards those who will work with data scientists. While the course will primarily focus on modeling and evaluation, it will also include data preparation and examination. Modeling techniques covered include dimension reduction, regression methods, decision trees, clustering, and other ad-hoc methods. Emphasis will be placed on the entire context surrounding data mining, which includes the business problem, data processing, modeling, evaluation and deployment. Students will be expected to implement these techniques in big-data case studies throughout the semester. CIS 3920 is cross-listed with STA 3920. Credit will not be given for both CIS 3920 and STA 3920. These two courses may substitute for each other in the F-replacement policy.
Data Mining is the process by which useful information is extracted from large amounts of data. This course is designed to provide students with the necessary tools and techniques to perform data mining and business analytics. This course is intended as an introductory module targeted at individuals who plan to work with data (modeling, data management) as well as towards those who will work with data scientists. While the course will primarily focus on modeling and evaluation, it will also include data preparation and examination. Modeling techniques covered include dimension reduction, regression methods, decision trees, clustering, and other ad-hoc methods. Emphasis will be placed on the entire context surrounding data mining, which includes the business problem, data processing, modeling, evaluation and deployment. Students will be expected to implement these techniques in big-data case studies throughout the semester. CIS 3920 is cross-listed with STA 3920. Credit will not be given for both CIS 3920 and STA 3920. These two courses may substitute for each other in the F-replacement policy.
Prerequisite: CIS 3400 and (ZICK or ZKTP Student Group) and (have ZK4L or ZK4P student group: BBA majors must have completed courses listed here, https://zicklin.baruch.cuny.edu/4000-and-above-bus-course-enroll-criteria).
Credits: 3
Hours: 3.0 Lecture hours
This advanced course will provide students with an in-depth understanding of the design and implementation of database warehousing and analytics database systems. Specific topics include data warehouse modeling and architecture, the ETL process, administration, security, column-store, streaming and NoSQL databases, and complex event processing. Students develop a complete data warehouse system including implementation of a business intelligence suite.
Prerequisite: CIS 2300 or MTH 3300, No ZICK or ZKTP code required
Credits: 3
Hours: 3.0 Lecture hours
This course emphasizes an object-oriented approach to solving computer programming problems. Using these techniques leads to shorter system development life cycles, increased programmer productivity, code reusability, and reduced system maintenance costs. This course provides a thorough, practical knowledge of object-oriented programming methods. Students learn the principles underlying programming using a language such as C++. Note: Students (except BA in Mathematics majors and BS in Financial Mathematics majors) cannot get credit for both CIS 3100 and MTH 4300. CIS majors will be required to take an additional CIS course if receiving credit for MTH 4300 to satisfy the 24-credit requirement for the CIS major.
This course aims to introduce students to semantic technologies in general and the Semantic Web in particular, and their use in various organizational settings. Semantic technologies enable the explicit representation of knowledge in ontologies and deducing implicitly available knowledge from the stored ontology, thus paving the way machines to process the knowledge. Ontology is the backbone of the Semantic Web that models the semantics of data and represents them in markup languages proposed by the World Wide Web Consortium (W3C). Key semantic technologies include XML, RDF, OWL explicit metadata, ontologies, logic and inferencing which the course will cover. Students are exposed to concepts as well as programming in XML, RDF and OWL by using examples from the business applications. The course requires written and programming assignments, and a term project that involves building ontology for a business application, andimplementing it by using RDF and OWL.
Prerequisite: CIS 3920 and CIS 3120 and (ZICK or ZKTP student group)
Credits: 3
Hours: 3.0 Lecture hours
This course provides a survey of the concepts, challenges, and methodologies employed in Natural Language Processing (NLP). The growth of unstructured data has been primarily driven by the textual data. The course covers basic natural language processing techniques, document representation, text categorization, social media analysis, among others. Students will also learn how to use these methods ethically in the presentation and analysis and forthright appraisal of what can and cannot be achieved through these methods.
This course was last offered in the Spring 2024 semester.
(Regular Non-Liberal Arts)
OR
CIS 4130: Big Data Technologies
Preequisite: CIS 3120 and (ZICK or ZKTP student group)
Credits: 3
Hours: 3.0 Lecture hours
This course will give students an overview of the big data technologies that will help efficiently store, extract, and process very large datasets. Students will learn key data analysis and management techniques, including critical concepts such as Distributed File Systems (storage concepts) and MapReduce/Spark (processing concepts) that power modern big data technologies. In particular, the course will leverage cloud-based services to manage storage and efficiently process data. Further, the course will also show how big data technologies can also be used to effectively analyze large volumes of data for practical applications.
This course examines how to transform data into visual representations so that decision makers can effectively use interactive visualization for analytical reasoning. Topics covered in this course include 1) analytical reasoning techniques, 2) visual representations and interaction techniques, 3) data representation and transformation, and 4) techniques to support production, presentation and dissemination of the results. This course will blend various theoretical and applied technical concepts of visual analytics.
Prerequisite: STA 2000, ACC 2101 and ZICK or ZKTP Student Group or STA-BA Plan and 45 credits or NBSTAT-MIN Plan.
Credits: 3
Hours: 3.0 Lecture hours
The objective of this course is to provide a foundation for critical thinking and decision making while introducing the student of accounting to some of the quantitative tools necessary for his/her profession. The foundations for critical thinking are developed by discussing the various activities typically employed in the decision-making process, particularly when dealing with complex situations containing uncertainties. All aspects of the modeling process are discussed. One vehicle for establishing this conceptual framework is the tools of decision trees and influence diagrams, since both facilitate, by visual means, an understanding of the complexities and interrelationships of the relevant factors of a decision problem. Subsequently, the student will be introduced to the statistical concepts of sampling in auditing, including attribute and variable sampling, different types of sampling schemes, accounting estimation, and auditing testing. Simple linear and multiple regression models for the estimation of cost functions are discussed in detail, including assumptions, model development and evaluation, and interpretation of output. The use of linear programming for the optimal allocation of scarce resources within an organization is discussed, and particular emphasis is placed on the economic interpretation of the linear programming output with regard to valuation, acquisition, and reallocation of scarce resources. Students are required to use the computer to solve and analyze regression and linear programming problems. Students who take OPR/STA 3300 may not receive credit for OPR 3450.
OPR 3450: Quantitative Decision Making for Business I
Prerequisite: STA 2000, calculus, and [(ZICK or ZKTP Student Group) or Official STA-BA Plan or NB Statistics business minor Plan]
Credits: 3
Hours: 3.0 Lecture hours
An introductory course in operations research. Emphasis is placed on problem formulation, model construction, methodology, and application to business decision problems. Both deterministic and probabilistic models will be discussed. Topics covered will include statistical decision making under uncertainty, inventory models, linear programming, critical path analysis, and simulation models. MGT 3500 may not be used to satisfy the requirement of OPR 3450 for Statistics, Computer Information Systems, and Accounting majors. Students may not receive credit for both OPR 3450 and OPR/STA 3300.
Prerequisite: STA 2000 or equivalent, Calculus (MTH 2205, 2207, 2610), and ZICK or ZKTP Student Group or STA-BA plan and 45 credits or NBSTAT-MIN plan.
Credits: 3
Hours: 3.0 Lecture hours
A continuation of Business Statistics I with a deeper development of topics in confidence intervals, hypothesis testing, and regression. The use of statistical packages such as SAS or SPSS will be integrated throughout the course. Topics covered include probability distributions, interpretation of confidence intervals and hypothesis testing results, testing in paired samples, one- and two-way analysis of variance, assumptions and analysis of regression models, and basics of nonparametric statistics.
STA 4155: Regression and Forecasting Models for Business Applications
Prerequisite: STA 3000 or CIS 2300 and [((ZICK or ZKTP Student Group) and (have ZK4L or ZK4P student group: BBA majors must have completed courses listed here, https://zicklin.baruch.cuny.edu/4000-and-above-bus-course-enroll-criteria)) or (STA-BA Plan and 45 credits or NBSTAT-MIN Plan)]. Not open to Economics and Finance majors.
Credits: 3
Hours: 3.0 Lecture hours
This is an applied statistics course on regression and time series models. This course is data driven and makes extensive use of statistical packages such asSAS or R. The topics covered include simple linear and multiple linear and curvilinear regression, binary and polytomous logistic regression, and time seriesmodels. The latter include moving average, autoregressive, and ARMA models. All of these topics are illustrated with business applications and other data.
Prerequisite: CIS/STA 3920 and (STA 3154 or MTH 4120)
Credits: 3
Hours: 3.0 Lecture hours
Many new problems in business, science, industry, arts, and entertainment require both traditional and non-traditional forms of data mining the computational process of extracting patterns and trends in large data sets, and the process of learning from data. This course concentrates on presenting modern data mining methods that have been widely used. The students will learn the intuitions, assumptions, and trade-offs involved with each of these methods. Most importantly, they will learn how to think about and apply statistical learning methods to real-world problems. All programming work will be carried out in R software.