Understanding data to drive business decisions
One of the fastest-growing fields is Business Analytics, an area that the U.S. Department of Labor expects will require 132,000 new employees over the next eight years—and more than half of those will be in Santa Clara University's neighborhood, the Silicon Valley.
By enrolling in our new MS in Business Analytics program, you can be on the fast-track to working in this emerging industry in just 15 months.
High demand field
The demand for business analytics skills has never been higher, and the U.S. Department of Labor says most of the jobs will be in the greater Bay Area region.
A business analytics practicum spread over three quarters will introduce you interesting projects, fascinating people, and an exciting new discipline.
Best of all, the program is STEM approved.
Silicon Valley focused
Data and business intelligence is at the core of Silicon Valley success.
You'll be able to enter the workplace with a deep knowledge of both the theory and practice of business analytics as our curriculum provides you with the skills and knowledge to:
- evaluate data-driven business decisions and their impact on markets and institutions, as well as individuals, businesses, and the macro-economy;
- identify the data needed to evaluate potential opportunities to leverage analytically driven decision-making to increase the value of the firm;
- interpret and analyze business-related data, develop statistical and behavioral models utilizing this information to make better business decisions, and to communicate technical results to non-technical audiences;
- understand ethical standards in business, and recognize and be able to evaluate ethical issues that data analysis might involve, such as protecting the privacy and security of customers; and
- work effectively as both group leaders and group members.
To complete the program, you must complete at least 45 units, spread over 12 required classes as well as a minimum of two electives†.
Business Analytics Courses
Courses in the MS Business Analytics degree are arrayed in four clusters: Business Foundations, Statistics and Optimization, Business Analytics, and Technology.
The 12 required courses are marked with *.
||ECON 3400 *
MKTG 3552 *
FNCE 3452 *
|Microeconomics for Business Decisions with Econometric Applications
Marketing Strategies and Decisions
Ethical Issues in Business Analytics / Data Science
|Statistics and Optimization
||OMIS 3350 *
OMIS 3352 *
|Decision Making and Analytics I
Decision Making and Analytics II
Experimental Design in Business Analytics
MKTG 3597 *
FNCE 3490 *
ECON 3422/MKTG 3558
|Econometrics for Business Analytics with R
Marketing Analytics I
Marketing Analytics II
Data Science and Business Analytics
The Analytics of Optimal Pricing and New Product Decisions
Econometric Issues in Panel Data from Financial Markets
Business Intelligence and Data Warehousing
Financial Information Systems
Applied Game Theory in Business Analytics
Business Analytics Practicum in Silicon Valley
||IDIS 3696 *
MSIS 2603 *
|Python Programming for Business Analytics
Database Management Systems
Big Data Modeling and Analysis
†Note: Courses are subject to change and availability in a given quarter is not guaranteed.
What do I need to know about the MS in Business Analytics?
Application deadlines: Fall Enrollment
- Round One: April 1 (for scholarship consideration)
- Round Two: May 1 (final deadline all applicants)
- $1,175/unit (2017-18 tuition)
- 45 units minimum
- 4-year bachelor's degree from accredited college or university
(in U.S., by regional accrediting agency; international institutions must be accredited by country's Ministry of Education)
- Two official transcripts from each institution attended (including extension programs) or, for international degrees, ICAP course-by-course evaluation by WES
- GMAT or GRE scores sent directly to University from test center
GMAT Institution Code BV3-WB51
GRE Insitution Code 7238
- TOEFL scores sent directly to University from test center
Required if English is not your first language, even if your schooling was conducted in English.
TOEFL Institution Code 4851, Department code: 02
- Two confidential letters of recommendation
Must be from managers or supervisors familiar with your work. For new graduates, recommendations from faculty are acceptable.
MS in Business Analytics Class Profile
Typical MS student profile
- Average age: 25
- Women: 40%
- Work experience: 1.5 years
- Average GMAT / GRE : 620 / 310