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Accelerating your career in Data Science

2 Year | Full Time | Accredited Master Degree Program


Degree from India's Premium Universities


A unique program that combines the depth of data science and machine learning to business decision making and analytics. The MBA in Applied Data Science is a 24-month experiential degree program that focuses on transforming you into a hands on skills driven, strategic Data Science Manager in today's data driven economy.

Program Summary


Data Science + Digital Skills + Business = MBA IN APPLIED DATA SCIENCE

Unique Industry Integrated Program that will create concrete career outcomes around -

Mastering the nuances of data science, analytics, machine learning and its industry applications and business impact.

Translating data analysis into actionable insights and providing recommendations through data visualizations to create business impact

Better Interlock with Data Scientists on one hand to Executive Management team on the other side

Design, Setup and Manage Data Analytics &
AI Projects


Industry wants to hire professionals who not only understand the depth of data science but can leverage that to business outcomes.
atul batra
Atul Batra
CTO, Manthan Systems


6 +
Skill Hackathons
Skill Labs

● 4 Semesters of Integrated Coursework, Labs & Industry Internships.
● Traditional exams replaced by Skill Hackathons - working on real company problems sponsored by hiring managers.

Year 1

2 Semesters + Integrated Internship

Core Courses

  • Micro & MacroEconomics,
  • Production Theory, Market Structures, and Pricing Strategy
  • Understanding Monopoly, Oligopoly and Modern MultiSided
  • Marketplaces
  • Marketing Life-cycle
  • Positioning
  • Messaging
  • Branding
  • Social Media Marketing
  • Digital Channels for Customer Acquisition
  • Negotiation & Conflict Management
  • Influence without Authority
  • Problem Category Modeling
  • Cause & Effect & Pareto Principles
  • Decision Trees & Alternatives Analysis
  • NPV, IRR, New Project evaluations
  • Profit & Loss (P&L), Balance Sheet, Cash Flow Statements
  • Financial Modeling for Technology Projects
  • Leading Self, Leading Teams, Leading Change
  • Executive Presence
  • Change Management
  • Hierarchical Structures


  • Business Objectives Discovery process
  • Formulating a BA plan
  • Detailed requirements definition process
  • Assessing value created by the solution
  • Efficiency & effectiveness analysis of internal processes
  • Relationship between projects and the strategic goals of the organisation
  • Technical, cultural, and interpersonal skills necessary to successfully manage projects
  • Tools, body of knowledge, and skills to manage projects
  • Industry case studies
  • Design Thinking as a problem-solving approach
  • Hypothesis Design, Prototyping
  • User Research, Scenarios Modeling & Empathy Mapping
  • Ethnographic Study, Contextual Inquiry, User Interviews
  • MVP & Lean Model Canvas
  • Exploratory Data Analysis
  • Analyzing Large Datasets
  • Data Mining
  • Data Wrangling using Numpy & Pandas
  • Feature Creation & Transformation
  • Learning programming with Python
  • Objects, Lists and Tuples
  • Getting data into R
  • Data Manipulation and visualization in R using ggplot2
  • Measures of central tendency and variability
  • Probability Basics & Distribution
  • Sampling distributions, estimation
  • Hypothesis testing (Normal sampling distribution)
  • Quantile, Beta Regression, Logistic Regression

Year 2

2 Semesters + Integrated Internship


  • Big Data Infrastructure and Technologies, including NOSQL databases, platforms for Big Data deployment and technologies for large scale storage.
  • Cloud Computing technologies for Big Data and Data Analytics, Azure and AWS
  • Big Data frameworks (Hadoop, Spark, Horton works, & others)
  • Algorithms for large scale data processing
  • Deep Learning & Data Consulting
  • Advanced Modeling & Optimization
  • Natural Language Processing
  • Analyzing Business Scenarios
  • CRISP-DM, KDD, and OSEMN Frameworks
  • Data exploration
  • Result Analysis
  • Dashboarding & Visualization
  • Business Intelligence with Tools
  • Data based Inferencing & Insights
  • Effective Communication Techniques & Art of Data Story Telling
  • Develop predictive and prescriptive models using numerical data
  • Time-series Forecasting
  • Optimization through Linear Programming
  • Gradient Descent and it’s applicability in Machine Learning.
  • Framework towards business decisions.
  • Data Driven Decisions
  • Analytics Strategy
  • Reinforcement Learning
  • Business Story Telling
  • Types of Story Structures
  • Scaling of Stories
  • Visual Elements with Grid, colors, fonts & data to create compelling presentations
  • Understand the concept of Innovation
  • Types of Innovation based on the impact the innovation creates
  • Differences between Radical and Disruptive Innovation
  • Best Practices of recognized innovative companies
  • ROI of Innovation
  • Industry Integrated Internship
  • Project Management Professional (PMP) from PMI, USA
  • Certified Product Owner, Certified Cloud Dev Ops Manager
  • Certified Business Analyst Professional (CBAP) from IIBA, USA
  • Certified Scrum Master (CSM) 

Skill Labs

Learning by Doing

Skill Labs is a sandbox to build hands on data science skills with real data in a real lab environment. This allows one to experience how and end to end Data Science algorithm is implemented from back-end to front-end

Communications Labs

Story Telling, Personal Branding, Proposal Writing, Exec Presence

Digital Marketing/Growth Hacking Labs

Hubspot, Kissmetrics, Google Analytics

Cloud Labs

Amazon Web Services (AWS), Microsoft Azure, IOT

Data Science Labs

R, Python, Hadoop, Spark, Kafka, Tensor Flow.

executive mba

Request a copy of the detailed syllabus

Career Impact & Accelerated ROI

List of Participants & Placement Organization

Admission Process

Application Fees 1000 INR
(includes the Skill Aptitude Test, Campus Visit, lunch/refreshments)

Affiliations, Accreditation & Partners



Career Decisions are important and we want you to understand carefully before you make them!

● Bachelor’s degree of three years in any stream or B E/ B Tech with 50% (45% in case of candidates belonging to SC/ST) of marks in aggregate from any recognized University / Institution or any other qualification recognized as equivalent thereto.

● Applicants are required to take /have taken any of the following standardized entrance exams – CAT 2018 / XAT 2019/ CMAT 2019/ GMAT & GRE (taken on / after 1st January 2018).

● Qualifying scores in the Institute of Product Leadership Skill Aptitude test (IPSAT), 2019.

● The cut off and weightage is not the same for all the entrance exams – so your performance in all the entrance exams will be considered.

● While CAT/XAT/CMAT percentiles or GRE/GMAT scores are an important component of the admission process, these are not the sole criteria for admission.

● All shortlisted applicants are required to appear for the ‘Admission Selection’ process.

● Academic Performance: We believe in consistency of excellence. Our candidates are desired to have demonstrated consistently high standards of academic performance right from their tenth standard.

● Nationalised Test Scores

Candidates are required to take the IP-SAT exam. Registration for the exam will be considered as the first step to applying to the course. No further application is required. 

IPSAT: A 30 minute in-class test for assessing the innovation potential of the candidate. The test can have multiple choice as well as descriptive questions.

1. Each question will carry marks

2. There is no negative marking

3. Assessment areas (Basic Knowledge in Product Management)
    3.1 Market Analysis
    3.2 Strategy planning and vision
    3.3 Product planning and development
    3.4 GoTo Market
    3.5 Sales Enablement
    3.6 Business Finance and Revenue Modelling.

4. Maximum Time limit -30 min

5. Number of questions -28

Group Discussion: A 30-minute indoor group exercise in groups of six to eight candidates each for assessing the solution orientation of the candidates.

  • All the courses in the program are focused and customized to the needs of technology-based companies, while most MBA programs focus on a number of generic skills that are required across various industries. The result is more depth and laser focus on technology leadership.
  • Global Business Perspectives with end to end understanding the business. You will also be ready to take Globally Recognised Certifications without any extra coaching
  • Ability to reach leadership positions faster for high-potential technology professionals
  • One stop-shop for relevant Global Certifications

    This course will include comprehensive training on global certifications from PMI, IIBA and also in Scrum and Agile

  • By Practitioners (Industry Veterans- 15+ years)

    Individual leadership interventions, assessments and 1:1 executive coaching to help refine the leader in you. Reach a heightened self-awareness of emotions, personal and business values, and removal of blind spots through 1:1 ‘Executive Coaching’ with a certified CXO Coach.

  • Skill Labs

    Our state-of-the-art skill labs are designed to help solve real world problems. With constant mentoring from coaches and solving real industry challenges you will build demonstrable assets and confidence to manage workplace challenges.Forget Exams, think Hackathons!

● INR 6 Lakhs (Inclusive of books, reference materials, skill labs licenses, and university fees)
● Please note that the application for different global certifications is not included. All cohorts have to apply for these certifications on their own

One Program, two modes

Full time Model Weekend Part time Model
Campus based Immersive Learning Online & Campus Learning
Weekdays Classes Weekly Live Class, Weekend Classes
Job Guarantee Career Management Cell Resources
Industry Connect & Field Visits Industry Connect & Field Visits
3 Months Industry Internships Industry Projects
24x7 Access to Learning 24x7 Access to Learning
Management Systems and Skill Labs Management Systems and Skill Labs

Build your career as a Data Science Manager by building cross functional management skills