Nirantar: Continuing Education Programmes (CEP) Admissions


Location: Mumbai

School: School of Management and Labour Studies

Intake: 30



  • For applying this Programme applicants should have completed their Bachelor’s Degree of minimum of 3 years duration or its equivalent (under the 10+2+3 or 10+2+4 or 10+2+2+1 year bridge course pattern of study or any other pattern fulfilling the mandatory requirements of 15 years formal education) from a recognised university, in any discipline.
  • Having at least 2 years of work experience after graduation as on 10th December, 2019.











Last Date for applying online

 to be announced shortly

Personal Interview


Announcement of Selection on TISS Website


Last date for making the payment of fees


Commencement of Programme




The convergence of information and communication technologies, deep learning and artificial intelligence is an exciting opportunity to organise complex systems and enhance our knowledge with new variants such as big data analytics and data science. Along with higher precision it also generates career opportunities in the labour market. Analytics, as a branch is not novel. We have spent considerable time and resources in designing, tabulating, presenting, drawing inferences, and predicting. The newer world, an information centric one, however, demands tools for handling bigger data sets that often cannot be handled by conventional statistical and econometric techniques such as regression.

Big data analytics differs from the conventional approach on three fronts;


  • Volume of data that it can manage
  • Higher number of potential predictors to unravel
  • Complex non-linear patterns.


Multi-lateral institutions like European Commission (EC) predicts a surge in Big Data/Data Science/Analytics professions in United Kingdom. As a pioneer in Information Technology, India is set to become an important node in the Big Data/ Data Science/Analytics global network. Tata Institute of Social Sciences (TISS), a public funded deemed university, offers an inclusive learning opportunity in Analytics. Labour Market Research Facility (LMRF) at TISS shall be anchoring the programme.

Executive Post Graduate Diploma in Analytics (EPGDA): Programme Design

Objectives of EPGDA

  • Creating talent in emerging contours of data sciences, big data, and analytics;
  • Stressing the importance of applying analytics in corporate inteligance ,public policy analytics and social big data .
  • Encouraging creativity and innovation in the field
  • Building capacity among the participants to envisage and manage independent projects

Key features of the programme


  • 1 year part time professional programme of instruction and training.
  •  Modular schedule that encourages students to pursue high quality education without
    comprising on professional commitment.
  • Facilitates upward mobility of working professionals or their transit to a new occupational profile.
  •  Helps working professionals who wish to move upward or transit to a new occupational profile.
  •  Perfect blend of theory and practice imparted by faculty and practitioners from reputed companies to contribute.
  •  Innovative workshops that enhance learning and offer networking opportunities.
  • Maximising the productivity over weekend to gain knowledge and learn the best practices of data analytics.

Distribution of Credit Hours:

Modules and Credits

The programme is of 1year duration with 690 hours of learning that is equivalent to 46 credits (Table 1). EPGDA is spread across 2 semester : Foundations, Technology and Applications, and Project Management.


Table 1: EPGDA Modules and Credits


Sr. No. Semester Credits
Semester I  
1 Data Structures and Research Designs: Cross Sectional, Time Series, Longitudinal, Excel Advanced and Visual Basics 2
2 Descriptive Statistics : Tabulation, Presentation and Visualization Using Tableau 2
3 Probability and Inferential Statistics 4
4 Multivariate Methods: Models and Methods 2
5 Data Science 2
6 Data Analysis with R 4
7 Data Analysis with Python 4
8 Data Analysis with SPSS 2
  Total Credits in Semester I 22
Semester II  
9 Basics of Geographic Information System (GIS) 2
10 Introduction to Hadoop and cloud computing 2
11 Contemporary issues in Data Analytics(Non evaluative: Compulsory) 2

Project Management

13 Analytics Projects in Business: Marketing, Human Resources Management, Finance, Strategy 4
14 Analytics Projects in Socio-Economic Planning: Social Protection/Poverty/Environment/Labour Market/Livelihoods/Health/Education 4
15 Analytics Projects in Social Media 4
16 Student Seminar on Analytics 4
  Total Credits in Semester II 24

Semesterwise Courses:


Participants will be exposed to handling large social media data and large socio-economic databases such as National Sample Survey, National Family Health Survey, India Human Development Survey Data, Annual Survey of Industries, Economic Census, Census and longitudinal corporate databases. Quite important, in order to learn the basics of predictive analytics, participants will be exposed to probability and inferential processes and multivariate techniques. By the end of this module, participants will have learnt how to handle the data in terms of design, structure, presentation, inferences, and prediction.



Participants will learn technologies like R software, Python, Hadoop, Relational Databases, SPSS and GIS. Participants will get opportunity to innovate creative data/technology integration processes.



Participants will learn behavioural, financial, and technical nuances of project management in terms of people skill, scheduling, documentation, presentation, and so on. Participants will work on analytics projects in diverse domains such as marketing, human resources, finance, strategy, labour market, livelihood, health, poverty, environment, education, and social media.


Pedagogy and Evaluation


The programme will use an interactive and integrative pedagogy, consisting of lectures, live projects, practicum, seminar, and case studies. TISS evaluation standards will be applicable to EPGDA.

Fee Structure:


Sr. No. Particulars Installment 1 Installment 2
    During Admission 10th August, 2020
1 Tuition 1,19,100 1,16,600
2 Identity Card 300 --
3 Examination 1000 1000
4 Computer Infrastucture 1000 1000
5 Development Fund 2500 2500
6 Library 1000 --
7 Library Deposit (Refundable) 2000 --
8 Convocation Charges -- 2000
  Total 1,26,900 1,23,100
  Grand Total 2,50,000



Saturdays : 2:00 pm to 8:00 pm

Sundays : 9:00 am to 4:00 pm


The classes will be held at the Institute

premises (Mumbai Campus) every weekend



Candidates facing technical issues are requested to write an email to / with an appropriate subject and description of the problem. Alternatively the candidate can call TISS Helpline 022-25525252 for general enquiries or for registering technical issues faced while filling the online application form.



Those satisfying the eligibility requirement will be called for the Personal Interview by the Selection Committee. The list of selected candidates will be notified on the Institute Website ( The Institute will not take responsibility for informing the selected candidates by post.