Key facts

Location: BangaloreCourse Start Date: October 27th, 2018Application Deadline: October 12th 2018

Duration: 10 monthsCourse Type: Part timeCost: Rs. 3.35 Lakhs + GST

Tools: R, Tableau, MapReduce, Python, IBM Watson, Tensor FlowInternships: Guaranteed *

UChicago Alumni: Lifetime access to the University of Chicago's 150,000 member strong alumni network

*T & C apply

ABOUT

Enrol for the most specialized data science program and machine learning program in India, the Postgraduate Program in Data Science and Machine Learning (PGPDM), by the University of Chicago’s Graham School, the professional division of one of the top-ranked universities in the US; IBM, the global technology leader; and Jigsaw Academy, India’s top online school for analytics.

The program is a blend of data science, deep learning, business analytics, visualization and project management education with the application of advanced analytics models for artificial intelligence, deep learning and cognitive computing.

Designed to give students a comprehensive analytics education with a combination of online and in-person sessions, projects and seminars by industry leaders and hands-on learning in the Jigsaw Lab, PGPDM has already made a significant impact, being ranked #2 in the Analytics India Magazine ranking for 2017.

WHY PGPDM?

If you already have some experience in technology and are interested in building a career in the futuristic areas of Machine Learning, Deep Learning and AI, the PGPDM can equip you with all the skills and tools you need.

Jigsaw Academy

Acquire technical analytics skills that drive business success

Jigsaw Academy

Develop expertise in Machine Learning, Artificial Intelligence and Deep Learning

Jigsaw Academy

Train in making decisions with statistical software tools combined with case studies

Jigsaw Academy

Learn from UChicago’s instructors, research leaders and industry veterans from IBM and Jigsaw Academy

PROGRAM STRUCTURE

The program comprises of 450+ hours of training via online classes and in-person sessions held on weekends in Bangalore.

  • 36 hours by industry analytics professionals from IBM and other companies
  • 45 hours by experienced faculty from Jigsaw Academy
  • 27 hours by international faculty
  • 17 hours by University of Chicago Graham School
  • 30 hours by Jigsaw Academy
  • 50+ hours from University of Chicago Graham School
  • 50+ hours from IBM
  • 200+ hours from Jigsaw Academy
  • Free access to the world’s largest analytics library
  • Free access to our comprehensive learning content
  • 100+ hours for the Capstone Project
  • 100+ hours of graded and practice assignments

 

CERTIFICATION BY UC AND JIGSAW ACADEMY
UChicago Certificate

Since the University of Chicago’s founding in 1890, the Graham School of Continuing Liberal and Professional Studies has served as the center of innovative lifelong learning, extending the University’s academic values to a broader audience. They offer professional development with practical application, powered by the University of Chicago’s mission as an intellectual destination leading new ways of thinking.

The University of Chicago is consistently ranked within the top 10 universities to study at globally.

Jigsaw Academy

2017 US News Best Colleges Rankings – Ranked No 3 after Harvard and Princeton

Jigsaw Academy

Consistently placed among the top 10 universities in the world by ARWU

Jigsaw Academy

Ranked among the top 10 universities in the world

Jigsaw Academy

Ranked among the top 9 universities in the world by the Times

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SPECIALIZED CURRICULUM

The PGPDM curriculum covers best in-class modelling and data analytics techniques, through a combination of lectures, a capstone project and assignments. The course enhances analytical skills to drive impactful insights from data, using tools, such as R, Python, Tableau, Big Data, Hadoop, MapReduce, Spark, SparkMLlib, IBM Watson and Tensor Flow.

Jigsaw Academy Data Analysis & Visualization
Jigsaw Academy Predictive modelling & Big Data Analytics
Jigsaw Academy Machine learning and Deep learning
Jigsaw Academy Artificial intelligence
Jigsaw Academy Project Management
  • Analytics Overview
  • Statistical frameworks
  • Overview of Data Science and Analytics
  • Analytical Management
  • Business Discovery Process
  • Use Cases for Business Analytics
  • Analytical Leadership
  • Project planning
  • Intro to R and Data Manipulation
  • Data Visualization
  • Data Manipulation and Visualization with R
  • SQL Basics
  • Data Pre-Processing with R
  • Enterprise data discovery
  • Data gathering and management
  • Data quality investigation
  • Probability Theory and Statistics
  • Trend analysis
  • Data Visualization for Data Quality
  • Linear Regression
  • Segmentation
  • Logistics Regression
  • Decision tree
  • Iterative and interactive data exploration using Tableau
  • Overview of Predictive Modeling and Machine Learning
  • Algorithm Type and Review including Linear Regression
  • Regression vs Classification approaches: including Logistic Regression and Cluster Analysis
  • Data Visualization, mapping, graphics
  • Data storytelling techniques, frameworks
  • Introduction to Big Data
  • Big Data ecosystem/HDFS
  • Hadoop and HDFS
  • MapReduce
  • NoSQL
  • Trees and Ensemble Models
    Bagging, Boosting and Random Forest
  • Multinomial Logit and Discriminant Analysis
  • Time Series Analysis
  • Panel Data
  • Simulation and Optimization Techniques
  • Spark
  • Spark for Machine Learning
  • ANN and Deep Learning
  • Tensor Flow and Artificial Intelligence
  • Watson-hands on
  • Chatbot with Watson
  • Visual Recognition with Watson and OpenCV
  • Industry Project
  • Hackathon and Contests
  • Career Management

The PGPDM also provides excellent preparation for graduate-level study. Learn more about the University of Chicago Graham School’s M.Sc in Analytics program.

 

CAPSTONE PROJECTS

The PGPDM has a rigorous curriculum which culminates in a real-time project featuring actual business problems which students will be expected to solve applying the analytics knowledge gained. The capstone project is a program requirement that’s designed to build this competency.

Student teams will identify a company with both a business problem and the resources needed to carry out the research process, and work with analytics industry research partners across levels and functions. Students will also additionally have access to proprietary and rare data from companies and work in a secure online lab to prepare the analysis report.

FACULTY AND ADVISORY

Our faculty are an active community of acclaimed scholars, industry experts and professionals on the cutting-edge of high technology.

  • PGPDM Instructor
    Victoria Gustafson

    Instructor, UChicago

  • PGPDM Instructor
    J. Bryan Bennett

    Instructor, UChicago

  • PGPDM Instructor
    Prashant Pradhan

    CTO, IBM India South Asia
    (Advisory)

  • PGPDM Instructor
    Vaishali Kasture

    MD and India Head, Experian (Advisory)

  • PGPDM Instructor
    Kimberly Chulis

    Co-Founder, Core Analytics (Advisory)

  • PGPDM Instructor
    Sameer Dhanrajani

    CSO, Fractal Analytics
    (Advisory)

  • PGPDM Instructor
    Arnab Bose

    Instructor, UChicago

  • PGPDM Instructor
    Jonathan D. Williams

    Instructor, UChicago

  • PGPDM Instructor
    Anil Chaturvedi

    Instructor, UChicago

  • PGPDM Instructor
    Baan Bapat

    Faculty, Jigsaw Academy

  • PGPDM Instructor
    Gunnvant Saini

    Faculty, Jigsaw Academy

  • PGPDM Instructor
    Ravi A.

    Faculty, Jigsaw Academy

  • PGPDM Instructor
    Vaishnavi Kothandaraman

    Faculty, Jigsaw Academy

  • PGPDM Instructor
    Pulak Ghosh

    Faculty, IIM-Bangalore

PLACEMENTS

McKinsey Global Institute predicts that by 2018 there will be about 1.5 million more jobs than skilled data scientists available to fill those jobs. This bodes well for anyone thinking of moving into data science, or augmenting their current skill set with data science.

PGPDM graduates will be primed to pursue a wide variety of prestigious and extremely well-rewarded positions in the following domains.

Jigsaw Academy Business Analysis
Jigsaw Academy Data Science
Jigsaw Academy Big Data Analytics
Jigsaw Academy Machine Learning
Jigsaw Academy Data Visualization
CAREER PROGRESSION

The program offers a robust recruitment program combined with high-level networking opportunities for our students to engage with industry experts, through guest seminar series, capstone projects and guest lecturers. In addition to the PGPDM career workshops and resources, students also have access to resume assistance and interview prep skills with industry professionals.

  • 100+ openings a month from our 450+ corporate contacts
  • Profiles shared with job consultants
  • Preparatory interviews with industry professionals
  • Analytics question bank & resume reboot
Capstone project partners
Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner
Corporate partners
Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner Capstone Project Partner

ADMISSIONS

To start the application process, students will need to submit their application online along with the payment of an application fee. A telephone interview will follow once an application has been deemed successful. All candidates will be evaluated on an individual basis and only selected candidates will be emailed the offer letter.

IMPORTANT DATES AND DETAILS

Admissions and interviews are being conducted on a rolling basis
Classes start: October 27, 2018
In-person class location:  Bangalore
Pre-approved loans available, refer below for more details on our ‘Enrol now, pay in 2019’ offer
Certification jointly by the University of Chicago Graham School, IBM and Jigsaw Academy

FEES

  • Tuition Fees: INR. 3.35 Lakhs +GST
  • The payment of the program fee is applicable through a Cheque, DD, Net Banking, Credit or Debit Cards
  • Enrol now, pay in 2019: Defer EMIs till after PGPDM with Incred, an educational loan NBFC. Start your payments after the program ends. No security or margin money required. Please contact our admissions office at +91 90199 17000 for more details.
  • For information on easy payments please contact our admissions office at +91  90199 17000

REFER A FRIEND

  1. Refer a friend, family member or colleague to our admissions team
  2. Your referral attends a one-to-one meeting/call with our Admissions team
  3. Your referral successfully gets enrolled in the PGPDM course
  4. You receive an Amazon gift voucher of Rs. 25,000/-

testimonials

FAQS

The Postgraduate Program in Data Science and Machine Learning (PGPDM) has the following eligibility criteria:

  1. Minimum academic qualifications:
    a. Completed (or final year student of) Bachelor’s degree program ( BE/ BTech/ BCA/ BPharm, BSc, BCom, BA) from a recognised Institute/ University.
    b. Maths/ Stats/ Economics/Computer Science / Information Technology in either Bachelor’s level or Classes XI/XII
    c. Min 50% marks or equivalent in the qualifying examination.
  2. A consistently good academic record:
    aIn the 10th, 12th and higher studies is preferred
    b. Master’’s degree holders will be eligible based on the above academic requirements.
  3. Attend in-person classes in the respective location:
    If you are admitted, you will be required to attend in-person classes during the weekends (Saturdays and Sundays) seven times in the 10 month period. This is a non-residential program.

Site visits are organized regularly. You are invited to come and take a tour of the campus, interact with the Director or Faculty and have all your queries resolved. Please contact the PGPDM counselors for details.

You will have to fill the online application form and pay the application fees. The application will then be evaluated by the selection committee.
If your application is selected, you will attend a telephonic interview.
Subsequent details regarding the selection procedure will be shared with selected candidates after application submission.

With Incred, an educational loan NBFC, you can enrol now and defer EMIs till after PGPDM ends.  There is no security or margin money required. Contact the PGPDM counselors on +91 90199 17000 for more details.

The loan disbursal and offer are from our loan partners and are dependent on your credit rating and details.

The program is spread over ten months.

The application fees and payments are non-refundable. In case of extenuating circumstances, a transfer to the next batch is possible. This transfer will be approved in genuine cases only.

Yes, you will get placement assistance when you complete the program, as per the program’s placement policy.

Please contact the PGPDM counselors for details.

As part of the PGPDM, we offer 100% guaranteed internships to all the certified students after the course is over. The CVs of the students are shared with our corporate partners who offer a 3 to 6 months internship.

The companies that offer an internship include but are not limited to: Genpact, Reliance Industries, Franklin Templeton, Asset Management, Ogilvy & Mather, Bosch Limited, FICO, Analytic Edge and others…

Companies offering internships are identified in the last few months of the course. The companies offering internships will vary. Participants may not have the option to choose the internship company or location. This will be based on your CV’s qualification by the company offering the internship.

Stipend amount varies by company. The monthly stipend for the internship typically ranges from Rs.10,000 to Rs.30,000. Some may offer higher or lower stipends as well.

The location may be in any city as chosen by the company. Most of the internships are in Bangalore, Delhi NCR, Mumbai, Pune, Hyderabad, and Chennai.  While we guarantee an internship, the company, duration, location and stipend amount may vary. While we will factor in your preference we may not always be able to accommodate your requests as the final say lies with the company.

Yes, we have tie-ups with established financial institutions in case students wish to opt for an education loan to finance the program fees.

Please contact the PGPDM counselors for details.

The PGPDM has a unique curriculum because:
a. It is the most advanced course in Data Analytics, Machine Learning, Deep Learning and Artificial Intelligence in India
b. The courses are taught by eminent faculty from University of Chicago Graham School, Jigsaw Academy and IBM
c. The Program provides the candidates with hands-on exposure to tools such as R, and Tableau.
d. The blended delivery model (in-person and online) of the program makes it convenient for working professionals to attend classroom sessions without having to quit their jobs and also, pace their learning through online sessions.

Yes, we will have knowledge and corporate partners who will play an active role in the exposition of the curriculum, learning interventions and in placements.

The PGPDM equips you with the most in-demand high end technical skills in Data Science and Machine Learning as well as Artificial Intelligence and Deep learning. The global acclaim of the University of Chicago Graham School, the technical expertise of IBM and the training credentials of Jigsaw Academy will make you a high-demand priority resource for any corporate to hire.

Yes, you need to bring your own laptop. The technology requirement shall be shared at the time of enrolment.

The certificate is awarded jointly by the University of Chicago Graham School, IBM and Jigsaw Academy.

Yes, UChicago faculty are an integral part of the curriculum delivery process.

All the requisite learning materials will be provided online through the Learning Management System. You are free to purchase any reference books or material as may be recommended by the faculty.

We believe that learning should continue and hence, all the learning material i.e. lectures and reading content would be available to you for 12 months after the course ends (in addition to the course duration which is 10-11 months).

We accept corporate sponsorships and can assist you with the process. Please contact the PGPDM counselors for details.

The students work on live projects involving real-life data used by companies. The projects test the students in analytics, Big Data and techniques including machine learning, predictive analytics and neural networks.

These projects can be of two types:

TYPE 1 – The company will give the problem definition and data. The students will present their findings.

TYPE 2 – The company gives the data and the students perform data cleaning and data manipulation. The students and the company then work together to discuss what needs to be achieved from the data.

The student groups are assisted by a faculty mentor and a point of contact in the company who provides business perspective and the vision of what is needed out of the project. The faculty provides technical assistance and guidance which is suggestive rather than perspective. The students do the heavy lifting and experience the challenges of real life projects.

STEP 1: Project approval
STEP 2: Contact the company representative and discuss the full context of the business challenge
STEP 3: Prepare a project proposal
STEP 4: Each team scopes out its project, analyses data and then produces findings in both written and oral form
STEP 5: Capstone Showcase Event where a panel of experts evaluate and test each project

The PGPDM has a diverse group of talented professionals. Together they foster a creative, competitive, yet collaborative environment. Our students’ academic backgrounds range from engineering and computer sciences to economics and business. Some are freshers, while others bring over 6 years of work experience in fields such as analytics, information technology, finance, academia, and consulting.

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You will be assessed at regular intervals and your final grades reflect all the assessments and not just a single final exam. Each course module will include the grading for the assignments in the module.

The criteria for obtaining the final certificate:

  1. Score at least 70% in each of the UChicago evaluation
  2. Score at least 70%  in each of the Jigsaw Academy evaluation
  3. Project completions as per the satisfaction of Corporate partner
  4. Minimum attendance of 70% in online sessions (higher for some modules)
  5. Minimum attendance of 70% (10 days of 14 days) at in-person sessions

Your attendance and assessment criteria need to meet the base attendance and assessment criteria to graduate with the PGPDM certification.

Events

Attend our upcoming events where PGPDM staff discuss program curricula, review application and admission requirements, and answer your questions.

    Contact

    INDIVIDUAL APPOINTMENTS

    Our team is happy to meet with you to discuss the PGPDM certification and its suitability based on your career profile.  Use the link below to schedule a one-on-one appointment with an enrolment counselor. If you cannot find a time that works for you, we encourage you to contact us at pgpdm@jigsawacademy.com and we can find a time to meet.

    REACH OUT

    For any queries regarding admissions, or to establish industry or academia relationships, or additional assistance, reach out to us at pgpdm@jigsawacademy or +91 9019917000.

    Escalations

    Kamal Das (Program Director)

    Email id: pgpdm@jigsawacademy.com
    Phone: +91  90199 17000

    CORPORATE ADDRESS

    corporate-office-pictures_UChicago

    Delhi – UChicago Center, DLF Capitol Point, Baba Kharak Singh Marg, New Delhi – 110001

    corporate-office-pictures_Jigsaw

    Bangalore – Jigsaw Academy, 308, 3rd Floor, 100ft Main Road, Indiranagar, Bangalore, Karnataka – 560038

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