Master of Science in Management (MSM)
Build the intelligence behind next-gen AI systems.
A research-led, industry-focused 10-month program designed to equip learners with the conceptual foundations and practical mastery of deep learning algorithms, neural network architectures, and AI deployment.
Cohort Info
- Program Duration: 10 Months (180 days | 40 weeks)
- Next Cohort Launch: 1st of every month
- Application Deadline: 15th of every month
Key Highlights
- Joint ecosystem delivery: institution + platform + career enablement
- Practical, case-based curriculum with a real-world capstone project
- STEM-designated MSM with data & analytics integrated learning
- Career support includes coaching, mock interviews, and an AI profile builder
About Program
Designed to be completed in 9 months with 44 credit hours, offered 100% online or blended for flexible learning.
- STEM-Designated program
- Career-focused delivery for graduates and working learners
- Built for structured progression after graduation
The program combines 32 credits of core curriculum with 12 credits of specialization, including a capstone research project.
- 32 Credits: Core Courses
- 12 Credits: Specialization
- Capstone: Research project applying learning to business scenarios
Choose one specialization aligned to your career direction:
- Data Science Management
- Project Management
- Marketing Management
Apply your learning to real organizational scenarios—analyze challenges, build solutions, and present recommendations.
Ideal if you:
- Want to move into management roles
- Come from any academic background
- Want practical business skills with global relevance
- Prefer flexible learning without pausing life
Admissions Requirements
- Bachelor’s degree (any discipline)
- Minimum GPA 3.0
- Statement of Purpose
- Resume/CV
- 3 Letters of Recommendation
For international students: English proficiency + credential evaluation
Support beyond the classroom.
- 1-1 career coaching
- Career preparation modules
- AI-powered profile builder
- Networking opportunities
- Mock interview practice
- Post-program career guidance
Course Curriculum
Core curriculum designed for real workplace decision-making.
01
Business Communication & Team Dynamics
02
Managerial Decision Analysis
03
Team Management & Conflict Resolution
04
Financial Accounting for Managers
05
Financial Management
06
Design & Management of Organizational Processes
07
Managerial Statistics & Analytics
08
Capstone Research Project
Specializations
Build decision-making capability through analytics and data interpretation.
Courses:
- Data Visualization & Modelling
- Data Management Decisions & Reporting
- Data Mining Applications
Learn to plan, manage, and deliver projects across industries.
Courses:
- Enterprise & Project Management
- Leading Agile Project Management
- Project Management & Sustainability
Designed for data-driven marketing and growth strategy execution.
Courses:
- Digital Marketing Analytics
- Research Design Methodologies
- Management Analytics & Case Studies
What You’ll Learn
Essential capabilities for modern management roles.
- Make data-driven decisions using analytics
- Lead teams and manage change
- Apply management theory in real organizations
- Solve complex business challenges
- Build market growth strategies
- Lead high-performance teams
- Use analytics for strategic decisions
- Create practical solutions to organizational problems
- Present structured recommendations to stakeholders
Need to know more?
Need to know more?
Real People. Real Results
Nikita S.
Senior FinTech Software Engineer
I wanted practical deep learning without leaving my job as a backend engineer. The 160 hours of live sessions and the 10-month pace were doable. Using a pretrained network and appropriate regularization/dropout, I was able to prototype a fraud-image classifier with the aid of the CNNs & Vision module plus GPU virtual labs. I can create and describe a baseline, make sensible adjustments, and present findings from a clean GitHub repository, but I’m not a “researcher” anymore. The IIT/IISc faculty guest sessions provided helpful rigor without being merely academic.
Arun R.
SaaS data analyst
Transformers felt like a mystery to me, even though I had experimented with text analytics. At last, the “Transformers & BERT” block made sense—tokenization, attention, and why F1 was more important than accuracy for our unbalanced tickets. As my capstone, I implemented a lightweight API and refined a small model for support-ticket triage. Although it didn’t fix everything, it gave me a repeatable workflow and significantly reduced manual routing. The code reviews on my GitHub portfolio were honest but constructive, and mentors were reachable.
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Nikita S.
Senior FinTech Software Engineer
I wanted practical deep learning without leaving my job as a backend engineer. The 160 hours of live sessions and the 10-month pace were doable. Using a pretrained network and appropriate regularization/dropout, I was able to prototype a fraud-image classifier with the aid of the CNNs & Vision module plus GPU virtual labs. I can create and describe a baseline, make sensible adjustments, and present findings from a clean GitHub repository, but I’m not a “researcher” anymore. The IIT/IISc faculty guest sessions provided helpful rigor without being merely academic.
Arun R.
SaaS data analyst
Transformers felt like a mystery to me, even though I had experimented with text analytics. At last, the “Transformers & BERT” block made sense—tokenization, attention, and why F1 was more important than accuracy for our unbalanced tickets. As my capstone, I implemented a lightweight API and refined a small model for support-ticket triage. Although it didn’t fix everything, it gave me a repeatable workflow and significantly reduced manual routing. The code reviews on my GitHub portfolio were honest but constructive, and mentors were reachable.
Designed for Ambitious Professionals
- Management Analyst
- Project Coordinator
- Project Manager (Entry Track)
- Marketing Analyst
- Team Lead (Early-Career Track)
Career progression depends on role, specialization, and prior experience. Analytics + leadership skills improve mobility across industries.
- Consulting & professional services
- Operations & supply chain
- Financial services
- Technology & analytics teams
- Marketing & growth functions
You Asked, We Answered
Yes, offered fully online or in blended learning format.
The program consists of 44 total academic credit hours.
No, a bachelor’s degree in any academic discipline is accepted.
Yes, a capstone research project applies learning to real scenarios.
Data Science Management, Project Management, or Marketing Management specializations are available.
Woolf Programs
Davis, MSc in Management