EXECUTIVE POSTGRADUATE DIPLOMA IN ANALYTICS (EPGDA)

Eligibility

 

• 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 recognized university, in any discipline.

 

• Having at least 2 years of work experience after graduation as on March 05, 2024.

Description

Final_Selection_for_EPGDA-2024-25.pdf

 

IMPORTANT DATES

Last Date for applying online	April 30, 2024
Personal Interview	May 9 & 10, 2024
Announcement of Selection on TISS Website	May 14, 2024
Last date for making the payment of fees	May 20, 2024
Announcement of Second Merit List	May 30, 2024
Commencement of Academic Session	June 3, 2024

 

Introduction:

The Executive Post Graduate Diploma in Analytics (EPGDA) program at the School of Management and Labour Studies, offered by the Labour Market Research Facility (LMRF), presents a captivating prospect. The integration of information and communication technologies, coupled with advancements in machine learning and innovative visualisations, opens up exciting avenues for organizing intricate systems and expanding our knowledge. This evolution not only ensures higher precision but also creates promising career opportunities in the labor market.

While analytics as a field is not new, the contemporary information-centric world necessitates tools capable of handling vast datasets, often beyond the capabilities of traditional statistical and econometric techniques such as regression. Data analytics distinguishes itself from conventional approaches in three key aspects: its ability to manage extensive volumes of data, the exploration of a higher number of potential predictors, and the identification of complex non-linear patterns. Prominent institutions like the European Commission (EC) foresee a significant upswing in professions related to Big Data, Data Science, and Analytics in the United Kingdom. India, as a trailblazer in Information Technology, is poised to become a crucial node in the global network of Big Data, Data Science, and Analytics.

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

The one-year part-time professional program is meticulously designed to accommodate the diverse needs of working individuals seeking both educational advancement and professional growth. The semester schedule is thoughtfully structured to allow students to pursue high-quality education without compromising their existing professional commitments. This strategic arrangement not only acknowledges the constraints of working professionals but also emphasizes the importance of maintaining a balance between academic pursuits and practical work engagements.

A key feature of the program is its commitment to facilitating upward mobility for working professionals, providing them with a clear pathway to advance in their current roles or seamlessly transition to a new occupational profile. This unique emphasis on career progression aligns with the dynamic demands of today's professional landscape, where adaptability and continuous learning are paramount.

The program distinguishes itself by offering a perfect blend of theoretical knowledge and practical insights. Renowned faculty members and practitioners from reputed companies contribute to the curriculum, ensuring that students receive not only academic expertise but also real-world perspectives. This synthesis of theory and practice enhances the overall learning experience and equips participants with valuable skills applicable in their professional domains.

In addition to the classroom instruction, the program incorporates innovative workshops that serve a dual purpose. These workshops not only enrich the learning process by providing hands-on experiences but also create networking opportunities for participants. Engaging with industry experts and peers fosters a collaborative learning environment, enriching the overall educational journey.

One of the program's distinctive features is its commitment to maximizing productivity over weekends. By condensing the learning sessions into weekends, the program acknowledges the time constraints of working professionals and ensures that participants can gain in-depth knowledge and grasp the best practices of data analytics without disrupting their weekday commitments. This approach reflects the program's adaptability and commitment to providing a comprehensive yet flexible learning experience tailored to the needs of the modern professional.

Distribution of Credit Hours:

 Semester and Credits

The programme is of 1year duration with 600 hours of learning that is equivalent to 40 credits (Table 1). EPGDA is spread across 2 semesters: Foundations, Technology and Applications, and Project Management.

Table 1: EPGDA Modules and Credits

Sr. No.	Semester	Credit
Semester I
1	Data Structures and Research Designs: Cross Sectional, Time Series, Longitudinal	2
2	Statistics for Analytics	4
3	Probability and Inferential Statistics	2
4	Introduction to Computational Tools	4
5	Introduction to Tools for Data Analysis & Visualization	2
6	Bayesian Statistics	2
Total Credits		16
Semester II
1	Multivariate Predictive Analysis I	4
2	Machine Learning	4
3	Digital Marketing	2
4	Human Resources Analytics	2
5	Financial Analytics	2
6	Sustainable Development Goal (SDGs) Analytics	2
7	Analytics Project in Business: Marketing, Human Resources Management, Finance, Strategy	2
8	Analytics Project in Socio-Economic Planning: Social Protection/Poverty/Environment/Labour Market/Livelihoods/Health/Education	2
9	Analytics Project in Social Media	2
10	Student Seminar on Analytics	2
Total Credits		24

• LEARNING OUTCOMES FROM FOUNDATION COURSES :

Throughout the Executive Post Graduate Diploma in Data Analytics (EPGDA) program, participants will actively engage in handling substantial datasets, encompassing both large-scale social media data and significant socio-economic databases, including the National Sample Survey, National Family Health Survey, India Human Development Survey Data, Annual Survey of Industries, Economic Census, Census, and longitudinal corporate databases. This hands-on experience serves as a pivotal component for achieving key learning outcomes. Specifically, participants will gain a profound understanding of the fundamentals of predictive analytics through exposure to probability and inferential processes, as well as the application of multivariate techniques. As a result of these learning experiences, participants will emerge with a well-rounded skill set, proficient in the strategic handling of data encompassing aspects of design, structure, presentation, inferences, and prediction. The program ensures that participants not only acquire theoretical knowledge but also develop practical expertise, empowering them to navigate and derive meaningful insights from diverse datasets in both social media and socio-economic domains.

• SKILL DEVELOPMENT FROM TECHNOLOGY AND APPLICATIONS BASED COURSES:

Participants will learn technologies like R and R Studio, Python, Tableau and Power Bi, Relational Databases, SPSS and JASP. Participants will get the opportunity to innovate creative data/technology integration processes.

• PRACTICAL EXPERIENCE FROM PROJECT MANAGEMMENT AND DESERTATION:

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, social media, ESG and SDG.

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	Semester 1	Semester 2
1	Tuition	1,36,500	1,36,500
2	Examination	1,000	1,000
3	IT Charges	2,000	2,000
4	Library Charges	1,500	1,500
5	Other Charges (ID Card, Convocation & Misc.)	2,500	0
6	Development Fund	5,000	5,000
7	Alumni Fund	500	0
8	Caution Deposit (Refundable at the time of exit through NDC process)	5,000	0
	Total	1,54,000	1,46,000
	Grand Total	3,00,000

 

 CLASS TIMINGS

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

SUPPORT

Candidates facing technical issues are requested to write an email to lmrf@tiss.edu / analyticstiss@gmail.com with an appropriate subject and description of the problem. Alternatively, the candidate can call 022-25525855 / 5252 for general enquiries or for registering technical issues faced while filling in the online application form.

 

 

 

SELECTION PROCEDURE

 

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 (http://www.tiss.edu). The Institute will not take responsibility for informing the selected candidates by post.