Prerequisites:

• Calculus II: MATH 1520 Calculus II
• Financial Accounting: ACCT 2610 Principles of Financial Accounting  
• Microeconomics: MEC 2900 Microeconomics, ECON 1501 Introduction to Microeconomics, or ECON 4001 Intermediate Microeconomic Theory.
• Statistics I: DAT 1200 Managerial Statistics I, ESE 3260 Probability and Statistics for Engineering, POLSCI 2400 Data Science for Politics, POLSCI 3630 Quantitative Political Methodology, SDS 2020 Elementary Probability and Statistics, or SDS 3020 Elementary to Intermediate Statistics and Data Analysis (AP credit for SDS 2020 [2200] will fulfill this prerequisite).
• Statistics II: DAT 1201 Managerial Statistics II, ECON 3150 Introduction to Econometrics, ECON  4150 Introduction to Econometrics With Writing, SDS 4010 Probability, or SDS 4130 Linear Statistical Models. 
• Modeling: SCOT 2000 Quantitative Business Decision Making

Total credits required: 15 credits

• Required Courses:

Course List

Code	Title	Units
CSE 1301	Introduction to Computer Science	3
DAT 3015	Data Analytics in Python	3
DAT 4001	Data Management for Business Decisions	3
Total Units		9

• Business Analytics Group A Electives (at least 3 credits required):

Course List

Code	Title	Units
FIN 4601	Research Methods in Finance *	3
MEC 4710	Empirical Techniques for Industry Analysis *	3
MKT 4003	Understanding & Conducting Business Experiments	3

• Business Analytics Group B Electives:

Course List

Code	Title	Units
DAT 4550	Machine Learning Tools for Prediction of Business Outcomes *	3
FIN 4506	Financial Technology: Methods and Practice *	3
MGT 4602	Sports Business Analytics	3
MKT 3780	Marketing Research *	3
MKT 5002	Customer Analytics	3
OB 4340	Talent Analytics *	1.5
OB 4350	People Metrics *	1.5
SCOT 4300	Operations Fun: Data-Driven Optimization	3
SCOT 4580	Operations Analytics *	3

*

Additional prerequisites are required to take this elective. 

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