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Speak to Academic Advisor at (+91)-7428290710
ADVANCED PROGRAMME IN DATA SCIENCES (APDS - BATCH 03) DURATION: 1 YEAR (275 HOURS)
About IIM Calcutta
The Indian Institute of Management Calcutta (IIMC) was established as the first national institute for Post-Graduate studies and Research in Management by the Government of India in November 1961 in collaboration with Alfred P. Sloan School of Management (MIT), the Government of West Bengal, The Ford Foundation and Indian industry. During its initial years, several prominent faculty formed part of its nucleus, including Jagdish Sheth, J. K. Sengupta, among others.
Over the years, IIMC has grown into a mature institution with global reputation, imparting high quality management education. It has been playing a pioneering role in professionalising Indian management through its Post Graduate and Doctoral level programs, Executive Training Programs, Research and Consulting Activities.
About the Programme
Data science is an interdisciplinary field that strives to extract knowledge or insights from data in various forms, either structured or unstructured. Data science employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, operations research, information science, and computer science.
Demand for trained data scientists has witnessed a massive growth in recent years. Data analysis is not only essential but indispensable for meeting the challenges of making most efficient strategic as well as tactical decisions. Applications of data science take place in various domains such as government sector, agriculture, atmospheric sciences, infrastructure management, financial markets, e-commerce. The objective of this programme is to introduce participants to the different tools and techniques used for handling, managing, analyzing and interpreting data. The program will be hands-on with introduction to software such as XL-Miner, Tableau, SPSS, R, @Risk, Arena, Apache Spark, etc. The programme is suited for working professionals who would like to have a hands-on feel on working with data and making sense of it. Successful completion of the program will enable the participants to acquire a strong foundation for applying advanced quantitative and statistical tools to make most effective decisions driven by sound data analysis.
Know More About Programme
- Statistics for Data Science
- Mathematical Methods for Data Science
- Data Representation and Visualization
- Econometric Methods
- Categorical Data Analysis
- Stochastic Processes and Simulation
- Database Management and Datawarehousing
- Machine Learning
- Decision Support Systems and Actionable Intelligence
- Big Data Storage and Analysis
Working managers with an experience profile of 3 years or more, who are graduates (10+2+3)/post graduates in any discipline with 50% marks. Students would be selected on the basis assessment of background and motivation based on the application form submitted.
Delivery & Class Schedule
The classes will be delivered using VCNow’s 2-Way highly interactive HD Video Conference platform available at over 30 cities in India. Classes will be held every Sunday 9.30 AM to 12.30 PM and Wednesday 6:30 PM - 9:30 PM, In addition, there will be three campus visits to IIM Calcutta.
Assessments & Certification
IIM Calcutta will conduct examination and other evaluation methods required for certification. Successful completion of the programme will require a participant to (a) attend at least 66% in each of the courses and (b) obtain no more than two “Poor” grades in the whole programme
Programme Commences: Sep 2019 (Tentative) Programme Fees
Application fees: INR 1000
Programme Fees: INR 3,30,000
Campus Module Fees: INR 60,000
Total Fees: INR 390000
(All fees payable to UCS LLP, GST applicable Ectra on all above components) Loan support available
September 10, 2019
December 10, 2019
April 15, 2020
July 15, 2020
|Amount INR||INR 80000 + INR 18000||INR 100000||INR 70000 + INR 24000||INR 80000 + INR 18000|
*GST will be charged extra on these components
Last date to apply is August 15, 2019.
For more information and support speak to our Academic Advisors:(+91)-7428290710