About the APDS Programme

he 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 Tableau, SPSS, R, @Risk, Arena, Oracle SQL, Hadoop, 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.

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.

  • APDS will focus on the tools and techniques used for handling, managing, analyzing and interpreting data
  • Main focus is on data management and analysis with introduction to various software such as XL-Miner, Tableau, SPSS, Oracle SQL, R, @Risk, Arena, Apache Spark, Hadoop etc.
  • Added focus on database management, computation and information systems, topics such as Data Representation & Visualization, Database Management & Data warehousing, Big Data Storage and Analysis will be covered in more detail
  • Tools and topics such as Categorical Data Analysis, Stochastic Processes and Simulation will be covered in detail
  • APDS will not focus on the different business domains such as finance, operations, marketing etc.
  • APDS will be much broader in terms of application areas and would have considerable focus on non-business applications where data handling/managing skills are required such as atmospheric sciences, government, utilities, agriculture etc.
  • Several case studies showing the use of data analytics in organizations will be discussed

Programme Modules:

  • Understanding Data Science
  • Mathematics for Data Science
  • Statistics for Data Science
  • Data Management and Datawarehousing
  • Machine Learning with R
  • Data Interpretation, Visualization and Analysi
  • Econometrics
  • Stochastic Process and Simulation
  • Decision Support Systems for Actionable Insights
  • Big Data Storage and Analytics
  • Advanced Topics in Data Science
  • Project in Data Science

Eligibility

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.

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

Alumni Status

IIM Calcutta Executive Education Alumni Status will be bestowed to all those who complete the programme successfully.

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 to12.30 PM and Wednesday 6:30 PM - 9:30 PM, In addition, there will be three campus visits to IIM Calcutta.

Programme Fees (For Indian Students)

Application fees: INR 2,500 + GST
Programme Fees: INR 3,60,000
Campus Module Fees: INR 80,000

(All fees payable to UCS LLP, GST applicable Extra on all above components) Loan support available through leading financial institutions

NOTE: ALL DATES, FEES, PROGRAMME CONTENT ARE TENTATIVE AND SUBJECT TO CHANGES.

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