Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
24 months

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Details
Program Details
Degree
Masters
Major
Management | Data Analytics | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
About Program

Program Overview


Program Details

Degree

Master of Science or Dual-Degree MBA


School

School of Business


Department

School of Business Graduate Program


Available

On campus


Program Benefits

  • Specialized Skillset: Equip yourself with the technical skills needed to collect, analyze, and interpret complex data sets, as well as the ability to derive actionable insights for businesses.
  • Holistic Approach: You'll be able to tackle complex business issues from multiple perspectives, considering financial implications along with broader organizational impacts.
  • Data-Driven Mindset: Data-driven decision-making is crucial for businesses across industries. Gain the knowledge to harness data effectively while understanding its business implications.

Careers

  • Business Intelligence Manager
  • Data Analytics Manager
  • Business Analyst
  • Data Scientist
  • Business Development Manager
  • Financial Analyst

About The MS In Business Intelligence and Analytics Program

Data science has become the ultimate driver of competitive advantage. But few leaders understand the potential of Business Intelligence and Analytics (BI&A), deep learning, and predictive analytics as engines of the enterprise.


The Business Intelligence and Analytics (BI&A) master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services, and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.


The Business Intelligence and Analytics curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.


Courses

Core Courses

  • MIS 630 Dealing with Data (3)
  • MIS 636 Data Integration for Business Intelligence & Analytics - 3 Credits
  • MIS 637 Data Analytics and Machine Learning - 3 Credits
  • BIA 650 Optimization and Process Analytics - 3 Credits
  • BIA 658 Social Network Analytics - 3 Credits
  • BIA 660 Web Mining - 3 Credits
  • BIA 686 Practicum in Analytics - 3 Credits

Elective Courses

  • BIA 656 Advanced Data Analytics and Machine Learning - 3 Credits
  • BIA 662 Augmented Intelligence and Generative AI - 3 Credits
  • BIA 670 Risk Management and Simulation - 3 Credits
  • BIA 674 Supply Chain Analytics - 3 Credits
  • BIA 676 Data Stream Analytics - 3 Credits
  • BIA 678 Big Data Technologies - 3 Credits

SP Jain Institute of Management and Research

SPJIMR was established in 1981 by India’s premier non-profit institution, Bharatiya Vidya Bhavan (BVB), to adapt the concepts, techniques, and practices of modern management to meet the needs and actual conditions of developing India.


BVB, an educational trust founded in 1938, by Dr. K.M. Munshi with the support of Mahatma Gandhi, is today a worldwide cultural, educational, and ethical movement of national eminence with widespread support and goodwill earned over its eight decades of public service.


Since its founding over forty years ago, SPJIMR has grown to become one of India’s leading management schools, with a global reputation for social impact.


Courses

Foundation Courses

  • GMP 01: Case Study Method
  • GMP 02: Learning to Learn
  • GMP 03: Science of Spirituality
  • GMP 04: Business Communication
  • GMP 05: Business Computing through Spreadsheets
  • GMP 06: Micro Economics
  • GMP 07: PG Lab
  • GMP 08: Financial Accounting & Statement Analysis

Term 1 Courses

  • GMP 09: Business Statistics & Research Methods
  • GMP 10: Negotiations & Intercultural Management
  • GMP 11: Design Thinking
  • GMP 12: International Macroeconomics
  • GMP 13: Decision Sciences
  • GMP 14: Global Production Management
  • GMP 15: Management Accounting
  • GMP 16: Marketing Management
  • GMP 17: Marketing Planning & Strategy (Simulation)
  • GMP 18: Corporate Finance

Term 2 Courses

  • GMP 19: Strategy
  • GMP 20: Business Analytics
  • GMP 21: Project Management
  • GMP 22: Strategic Finance
  • GMP 23: Digital Marketing
  • GMP 24: Global Supply Chain Management
  • GMP 25: Startup Garage
  • GMP 26: iBizSim (Simulation)
  • GMP 27: Technology in Digital Economy
  • GMP 28E: Responsible Management
  • GMP 29: International Finance

Elective Courses

  • GMP 30E: Business Models
  • GMP 31E: Mathematical Basics (incl. Fin Math)
  • GMP 32E: R and R Studio (Workshop)
  • GMP 33E: Capital Markets
  • GMP 34E: Basic Econometrics
  • GMP 35E: Applied Econometrics
  • GMP 36E: Consulting Tools Seminar
  • GMP 37E: SAP for Business Process Management

M.S. in Business Information & Analytics: Facts & Figures

  • Average Salary: $102,875
  • Average Signing Bonus: $26,000
  • Employed 6 Months After Graduation: 98%
  • Best Online Masters in Data Science Degrees 2025: #8 (University HQ)
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