School for Continuing Education and Professional Studies (SCEPS)
MS Business Analytics
About the degree program
The W. P. Carey MS in Business Analytics is a STEM-designated program emphasizing the importance of data in today’s world. It prepares students for careers in business analytics by teaching them to extract value from data, manage data-driven projects, and impact businesses.
The program offers five specializations: big data, cloud computing and tech consulting, fintech, marketing analytics, and supply chain analytics. Available in two formats, the full-time program lasts 9 or 16 months based on the chosen track, and the online option caters to working professionals seeking to advance their skills without pausing their careers.
Full-time
30 Credit Hours
Online or Campus Immersion
Tempe Campus
STEM-OPT Option Available
Articulation Details
Students enrolled at an ASU Cintana Alliance Network institution have the chance to start their courses at their home institution and transfer those credits* to finish their remaining years at ASU.
Models available: Graduate dual degree and accelerated masters
Courses at RV University
- Enterprise Data Analytics (3)
- Python for Data Analysis (3)
- Descriptive and Predictive Analytics (3)
- Business Process Analytics (3)
*Transfer eligibility is subject to student performance in bridge courses and Arizona State University transfer requirements.
Courses at ASU (18 credits)
- Required Core (3)
- Analytics for Unstructured Data
- Electives (12)
- Culminating Experience (3)
- Applied Project (1.5)
- Applied Project (1.5)
Additional Curricular Information -For electives, students should consult the academic unit for a list of approved courses.
Featured courses
Enterprise Data Analytics
Ensuring the foundational understanding of contextualized analytics within the business enterprise continuum by covering how data flows and is managed across the landscape of enterprise business processes.
AI and Data Analytics Strategy
Deep learning applications have become an integral part of our lives over the last decade. Alexa, Amazon Go, Waymo, Apple Face ID, and Facebook’s face recognition applications are all powered by deep learning networks. Applications based on deep learning models cover a wide spectrum of industries including retail, automotive, manufacturing, health care, banking, insurance, agriculture, security and surveillance. Hands-on look at the latest models, trends and challenges of deep learning applications in business.
Descriptive and Predictive Analysis
Provides a solid foundation and deeper understanding of the use of quantitative modeling tools and techniques to solve problems faced in modern supply chains. Uses Excel workbooks to implement the appropriate quantitative methods, including forecasting demand, capacity planning of a manufacturing line and the line cycle time as it pertains to parts inventory management.
International Certification in Business Analytics
List of courses & course code
SCHOOL : SCHOOL FOR CONTINUING EDUCATION & PROFESSIONAL STUDIES
PROGRAMME : International Certification in Business Analytics
SEMESTER : 1
BATCH : 2025 – 2026
| SL No. | COURSE CODE | COURSE TITLE | CREDITS | (L:T:P) | Nomenclature as per NEP* | Total Marks (CIE) | Total Marks (SEE) | Total Marks (CIE + SEE) | Mode of Examination |
|---|---|---|---|---|---|---|---|---|---|
| 1 | CE5201 | Enterprise Data Analytics | 4 | 3:1:0 | Core Courses (CC) | 70 | 30 | 100 | Submission |
| 2 | CE5202 | Python for Data Analysis | 4 | 2:1:2 | Core Courses (CC) | 70 | 30 | 100 | Submission |
| 3 | CE5203 | Descriptive and Predictive Analytics | 4 | 2:1:2 | Core Courses (CC) | 70 | 30 | 100 | Submission |
| 4 | CE5204 | Business Process Analytics | 4 | 3:1:0 | Core Courses (CC) | 70 | 30 | 100 | Submission |
| Total Credits to be earned by students this semester | 16 | ||||||||
Career opportunities
Graduates have the essential academic preparation required for roles that derive value from data and modeling, lead data-driven analyses and that create critical business advantages.
The U.S. Bureau of Labor Statistics’ Occupational Outlook Handbook (2019) states, employment for business intelligence analysts is projected to grow between 7% and 10% between 2018 and 2028, faster than average.
Applicable Roles:
- Business intelligence analyst
- Computer Database Architect
- Data analyst
- IT project manager
- Network Security Analyst
Top 5 Employers of ASU Graduates
- Amazon
- Banner Health
- Boeing
- Intel
- Starbucks
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