M.S. Business Analytics

Curriculum

Updated March 1, 2021 - The analytics field is a fast paced environment that requires regular updates so our graduates have the skills they need to succeed after graduation. Beginning in Fall 2021, we will roll out our new MS in Business Analytics curriculum. The new curriculum has been streamlined to add more flexibility while reinforcing key competencies.

 

These changes include:

 

• Calculus 2 will no longer be required for admission

• Decreasing the number of total units from 48 to 42 (32 core; 10 electives)

• Removing the Finance bootcamp 

• Adding R programming to the learning objectives of the introductory math class

• Adding a new class to the requirements called Prescriptive Analytics  

 

These changes will 

 

• Allow our students to strengthen their technical abilities before really digging into the bulk of their industry practicum work in Spring quarter.  

• Decrease the number of required units and thus, decrease the total cost of the program.  Allow students more time to engage with each other, their practicum partners, our extensive Career Management programming and other extra curricular activities. 

 

With the MS in Business Analytics curriculum, you will gain knowledge of both the theory and practice of business analytics as our curriculum provides you with the skills and knowledge to:

 

• Understand business challenges and priorities, and learn to address such challenges using the appropriate data and suitable econometric analytical tools. 

• Identify the data needed to evaluate potential opportunities to leverage analytically driven decision making to increase the value of the firm. 

• Understand the challenge of privacy protection of customers, and the balance between privacy protection and personalization of business offerings

• Learn foundational techniques and tools required for business analytics and data science, covering mathematics, statistics, software.

• Select and apply appropriate analytical techniques, models, and frameworks to business decisions; and be able to summarize and analyze quantitative information using statistics and data visualization

• Write clear, well-documented, and effective memoranda and reports; prepare and deliver professional-quality presentations; work effectively on a project in a team

 

To complete the program, you must complete at least 42 units, spread over a combination of required (core) units and elective credits.

 

The Business Analytics degree includes three core topics: Statistics and Optimization, Business Analytics, and Technology.

 

With the MS in Business Analytics curriculum, you will gain knowledge of both the theory and practice of business analytics as our curriculum provides you with the skills and knowledge to:

 

• Understand business challenges and priorities, and learn to address such challenges using the appropriate data and suitable econometric analytical tools. 

 

• Identify the data needed to evaluate potential opportunities to leverage analytically driven decision making to increase the value of the firm. 

 

• Understand the challenge of privacy protection of customers, and the balance between privacy protection and personalization of business offerings

 

• Learn foundational techniques and tools required for business analytics and data science, covering mathematics, statistics, software.

 

• Select and apply appropriate analytical techniques, models, and frameworks to business decisions; and be able to summarize and analyze quantitative information using statistics and data visualization

 

• Write clear, well-documented, and effective memoranda and reports; prepare and deliver professional-quality presentations; work effectively on a project in a team

 

• To complete the program, you must complete at least 42 units, spread over a combination of required (core) units and elective credits. 

 

Curriculum

​

42 Total Units (32 core units; 10 elective units)

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Required Courses

Below are the required courses and their corresponding units.

​

Statistics and Optimization (required)

• FNCE 2502 Math for Finance and Analytics (4 units)

 

Business Analytics (required)

• ECON 2509 Econometrics w/ R (4 units)

• MKTG 2505 Data Science & Markeing (4 units)

 

Business Analytics Practicum/Capstone (6 units)

 

Technology (all required)

• MSIS 2503 Database Management Systems - Fundamentals of SQL (2 units)

• MSIS 2507 Data Analytics - Python (4 units)

• MSIS 2508 Data Science & Machine Learning (4 units)

 

 

Elective Options

Students can then choose at least 12 additional elective units to complete their degree. A sample of the electives offered are as follows:

 

• MSIS 2513 Database Management Systems - Design, Development & Administration (2 units)

• FNCE 2524 Time-Series Analysis (2 units)

• FNCE 2525 Analytics of Finance (2 units)

• FNCE 2526 FinTech (4 units)

• MSIS 2527 Big Data Modeling and Analytics (4 units)

• MSIS 2528 Applied The Business of Cloud Computing (2 units)

• MSIS 2529 Dashboards (2 units)

• MSIS 2533 Mobile Payments & Blockchain (2 units)

• MSIS 2534 - Internet of Things (2 units)

• MSIS 2536 Deep Learning (2 units)

• MSIS 2537 Reinforcement Learning (2 units)

• MSIS 2538 Cloud Computing Architectures (4 units)

• MSIS 2539 Data Visualization (2 units)