The big data era has profoundly impacted people's lives and work. Formulating, implementing, and adjusting decisions are key drivers of social change and development. Today, we will compare in detail Carnegie Mellon University's Master of Business Intelligence & Data Analytics (BIDA) and the University of Chicago's Master of Science in Analytics. While the two programs seem similar, each has distinct features. CheersYou(清柚教育) provides a thorough analysis for interested students—keep reading!
Carnegie Mellon University (CMU) – Business Intelligence & Data Analytics (BIDA)
CMU's BIDA program is a track within the MISM (Information Systems Management) system. It offers two durations: applicants with three or more years of work experience can choose the 12-month course without an internship, while those without experience take the 16-month track that includes an internship.
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Program website:
https://www.heinz.cmu.edu/programs/information-technology-master/bida
Curriculum:
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Core courses cover data analytics, database management, JAVA programming, big data computing, etc. Electives are also challenging, such as R programming and Python programming. Most courses involve modeling, statistics, and computing. Due to the longer program length, the school arranges internships to enhance hands-on skills.
Admission Requirements:
- GPA: 3.7+
- GRE: 325+ (330+ more competitive)
- Language: TOEFL 100+ (admitted students typically 105+) / IELTS 7+
- Background: Preference for STEM undergraduate majors, especially engineering, information systems, or physics. Admitted students should have some internship/research/competition experience. Prerequisites include Java or C++ programming, as well as undergraduate-level statistics and database courses.
Careers:
BIDA is a STEM-designated program with 3-year OPT, making it an excellent choice for those seeking U.S. employment. Most graduates pursue Data Science roles, but data analytics, software engineering, and software development are also popular.
Key employers include Amazon, Adobe, Barclays Capital, Google, IBM, Oracle, etc. Positions include analyst, software development engineer, data scientist, data analyst, and analytics consultant. Salaries generally exceed $50,000, with the vast majority ranging from $100,000 to $125,000—very competitive.
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University of Chicago – Analytics
UChicago's Analytics program is housed under the Professional Education College (often termed continuing education in China) but is currently taught by the Data Science Institute (DSI) within the Physical Sciences Division.
The program offers Full-time and Part-time options. Full-time spans 5 quarters, including 12 courses and a capstone project. Part-time takes 2–3 years.
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Program website:
https://professional.uchicago.edu/find-your-fit/masters/master-science-analytics
Curriculum:
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Core courses include: time series analysis, statistical analysis, data mining, machine learning and predictive analytics, and linear and nonlinear models. Electives are relatively limited, leaning toward business-oriented topics like financial analytics and marketing analytics. Some challenging courses like data visualization, advanced machine learning, and artificial intelligence are also offered.
Classes are small, typically 20–30 students. Non-credit workshops and short courses such as Hadoop Workshop, Linux Workshop, R Workshop, Deep Learning and Image Recognition help students master credit courses.
Admission Requirements:
- GPA: 3.8+
- GRE: 325+
- Language: IELTS 7+ / TOEFL 105+
- Background: The program prefers applicants with 2+ years of work experience. Fresh graduates face higher standards. Applicants should have completed Calculus I and II. The program also offers foundational courses in linear algebra and programming for those lacking such background.
Careers:
Graduates of UChicago's MScA program find employment across many industries, including McKinsey, Deloitte, and Amazon. The university holds two major career fairs annually: one for all graduate students, and one exclusively for Analytics students, featuring positions directly related to data analytics.
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Official data shows high employment rates, with graduates entering finance, marketing, consulting, and more. While job titles vary, most roles are analyst-related.
This is also a STEM-designated program, a solid choice for those wanting to work in the U.S.
In summary, CMU's BIDA curriculum is more hardcore with flexible electives, while UChicago's Analytics is more practical, recruiting mostly those with 2+ years of experience, though outstanding fresh graduates are also considered. Both are STEM programs, so students can choose based on personal circumstances.
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CheersYou(清柚教育) has helped students gain admission to these programs. To learn about student majors, GPAs, GRE scores, and more, feel free to add a CheersYou(清柚教育) consultant for counseling.
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