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Key Highlights

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Course Highlights

  • Program Duration: 10 Months
  • Number of Projects: 6 Applied Projects + 1 Capstone
  • Live Sessions: 160 Hours (Instructor-Led)
  • Self-Paced Learning: 80 Hours of structured assignments
  • Credit Load: 18 Academic Credits
  • Mode of Learning: Online ILT + Virtual Labs (Hybrid Optional)
  • Language of Instruction: English

About Program

Duration and Learning Hours

The program spans 12 months (220 days), offering a structured pathway for professionals seeking to advance their expertise through intensive learning and applied practice.

  • Live Instructor-Led Sessions: 144 hours of interactive, mentor-driven training.

  • Self-Paced Learning: 120 hours of assignments, virtual labs, and curated reading materials for flexible study.

  • Mode of Learning: Delivered via Online or Executive Hybrid format, integrating real-time interaction with self-paced access.

Project-Based Learning

  • Lab Access: Virtual labs featuring industry-standard data tools, LMS resources, and capstone project environments.

  • Projects: Mandatory project work, including a capstone, to apply theoretical knowledge to real-world analytics challenges.

  • Internship Support: Industry-linked internship opportunities for applied learning and professional networking.

Academic Load and Credits

Credits: 20 academic credits, aligned with NCrF Level 8 standards and compliant with NEP 2020 and NOS/QP mapping for analytics occupations.

Language of Instruction

All sessions, learning materials, assessments, and interactions are conducted in English, ensuring global standardization and accessibility for a diverse learner base.

Who Should Enroll?

This program is ideal for:

  • Business Analysts, Marketing Analysts
  • Project Managers, Product Owners
  • Early-career professionals with math or engineering backgrounds
  • Working professionals pivoting into analytics and business consulting
  • MBA aspirants or those planning IIM-level education

Course Curriculum

Modules designed to meet current industry standards.

01

Foundation of Analytics & Business Strategy

02

Applied Statistics & Exploratory Data Analysis

03

Machine Learning for Business (Supervised + Unsupervised)

04

Visualization & Data Storytelling (Tableau, Power BI)

05

Business Simulation Labs (Marketing, Finance, Operations)

06

Capstone Project: Real Business Problem + Presentation

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Core Skills
  • Business problem-solving through data
  • Data visualization, storytelling & dashboards
  • Predictive modeling using ML techniques
  • Quantitative reasoning and statistical thinking
  • Analytical strategy and business decision support
Tools & Frameworks You’ll Master
  • R, Python, SQL
  • Tableau, Power BI
  • Excel + Solver Add-in
  • Google Colab, Jupyter, Git
  • Case Simulation Platforms
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Executive Certification in Network Security & Ethical Hacking
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Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure
Executive Certification in Network Security & Ethical Hacking
more

Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Aparna S.

Product Owner (NBFC, Digital Payments)

I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.

40% Salary Hike

Raghav M.

Risk & Compliance Analyst (BFSI)

Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.

25% Salary Hike

Zoya K.

CS final-year student

I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.

25% Salary Hike

Naveen T.

FinTech Analyst, MBA in Finance

Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Aparna S.

Product Owner (NBFC, Digital Payments)

I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.

40% Salary Hike

Raghav M.

Risk & Compliance Analyst (BFSI)

Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.

25% Salary Hike

Zoya K.

CS final-year student

I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.

25% Salary Hike

Naveen T.

FinTech Analyst, MBA in Finance

Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.

Designed for Ambitious Professionals

Roles Offered
  • Data Analyst
  • Business Analyst
  • Analytics Manager
  • BI Specialist
Salary Growth Potential

30- 60% Average Hike
Post Course Completion

Top Salary Bracket

Entry (0–2 years): ₹6–10 LPA

Mid (2–5 years): ₹12–20 LPA

Leadership (5+ years): ₹25 LPA+

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • Data Analyst
  • Business Analyst
  • Analytics Manager
  • BI Specialist
Salary Growth Potential

30- 60% Average Hike
Post Course Completion

Top Salary Bracket

Entry (0–2 years): ₹6–10 LPA

Mid (2–5 years): ₹12–20 LPA

Leadership (5+ years): ₹25 LPA+

Top Hiring Companies

You Asked, We Answered

Do I need coding experience?

No prior programming is required. We build it from the ground up.

Is this program suitable for working professionals?

Yes. Weekend/Evening delivery + hybrid learning format.

Will I get project experience?

Yes. You will work on multiple data projects + 1 business capstone.

Are scholarships or EMI options available?

Yes. Limited merit-based scholarships and EMI plans are available.

Ready to Deep Dive into the Future of AI?

Seats are limited.
Join the next cohort of advanced AI professionals.

Download Brochure

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