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Learn to analyse data, gauge emerging patterns, respond to datasets and make effective predictions across domains



“A Breakthrough in Machine Learning would be worth ten Microsofts”

Bill Gates

With the growing frequency and the apparent ubiquity of online communication & transactions, 2.5 Quintillion Bytes of data is created each day. The massive amounts of data thus gathered makes it impossible for static program instructors to gauge emerging patterns in anything – from consumer behavior and stock price movement to airplane performance and traffic movements.

MACHINE LEARNING (ML) is the construction of algorithms that one can learn from and respond to large datasets faster and make effective predictions. It instructs computers to find patterns in data without being explicitly programmed. As data grows in volume and becomes more complex, the applications of ML are becoming widespread and all pervasive. Key applications of ML include:

  • Trading Patterns & Efficiencies in Global Financial Markets
  • Fraud Prediction & Detection for Banks
  • Recommender & Predictor Systems for Retail & E-Commerce
  • Transportation Management & Traffic Shaping for Smart Cities
  • Predictive Techniques for Autonomous Vehicles


This has made ML the #1 in-demand skill globally amongst programmers. Machine Learning specialists usually get a substantial hike in earnings depending on their experience and capabilities.



 salary data: payscale.com




  • Instructor-Driven Learning
  • Real-World Projects
  • Career Guidance & Assistance
  • Industry Internships



The programs aim to bridge the gap between theoretical knowledge and practical application of Emerging Technologies.

The program feature 16 weeks of intensive classroom learning & lab-work designed to instil rigor, knowledge & real-world understanding of the technologies. Dynamic case studies, classroom discussions, projects and in-depth industry analyses strengthen the participant’s ability to harness online resources and develop strategies to maximise marketing efforts.

This is followed by an 8-week industry internship that helps translate the knowledge gained in the first part of the program into an actual real-world execution, the outcome of which would contribute substantially to the achievement level of the learner in the program.

Strategic Skills Track

  • Module 1: Introduction to Machine Learning. Overview & Basic Techniques
  • Module 2: Advanced Machine Learning

Programming Track

  • Module 3: Mathematical Preliminaries
  • Module 4: Special Topics in Machine Learning

Lab Track

  • Module 5: Introduction to Software Tools
  • Module 6: Machine Learning Software Tools

Application Cases Track

  • Module 7: Application Cases
  • Minimum composite GRE score of 310 or a qualifying score on SPJ’s Internal CBT
  • Computer Science Degree (Engineering or Regular) with over 1 year of experience
    • Non CS Grads & Freshers with relevant programming experience can also apply
  • Graduate GPA of 2.7 or higher on a 4-point scale or equivalent
  • Working knowledge of a high-level, general-purpose programming language (preferably C++) and of data structures
  • Knowledge of Mathematics, specifically Calculus

On completion of the program, students will have developed a world-class skill set in their selected technology domain that provides ‘Employability Enhancing’ skills and capabilities. It is expected that the program will substantially increase the earning potential and compensation benchmarks of the student.

Candidates can expect to be hired in positions such as:

  • Machine Learning Specialist
  • Data Science Researcher
  • Data Engineer

Salaries for these profiles are on an average 95% higher than Software Programmer jobs with a similar background and experience


Program Fee: INR 600,000

Certification Fee : INR 150,000

Total Fee: INR 750,000 (plus Applicable Taxes)


Laptop Fee: At Actuals (or provide your own as per specification)

Classroom Learning and Exposure

Set within the traditional definitions of a classroom, participants are exposed to interactions with specialists and experts in their technological domain. These include both world-class professors and industry leaders who have predominantly worked in the technology space. Participants are expected to discuss varied case studies highlighting both successes & failures in their domains.

Simulated and Real-time Development (Assignments) in the ‘Cloud Lab’

Conceptualize and develop real time solutions and programs in for selected real-world business scenarios. In conjunction with requisite software, hardware & other tools, students operate in the ‘Connected Cloud’ which brings together a virtual & physical lab environment to provide unhindered space & time for executing their assignments. Panels of industry experts are drawn from several fields who will also support and mentor them throughout the course of the program.

The Industry Internship is a key element of the program that allows students to translate their learning from real world scenario based assignments to an actual real world execution of concepts and ideas.

Students complete the Industry Internship:

  • Students, individually or in teams, pick an industry vertical and product category and create a proposal for a project execution
  • Using the techniques and concepts learnt in the classroom, they are expected to deliver an actionable solution or program for their companies.
  • The company shall judge the success of their deliverables on the basis of milestones that are preset at the start of the internship
  • SPJ will leverage upon its Corporate Relations network to setup internships for students on a best effort basis. However, this is an additional component, if delivered by SPJ, and is not a guaranteed part of the program.