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Computer Science & Engineering
Specialisation in Data Analytics

Program Overview

The advent of the internet has expanded the digital technology landscape. Our every action online leave a footprint in the digital form. This has completely transformed the business world at a rapid speed. There is a massive explosion of data on daily basis, which is helping organizations to monitor the behavior of their customers. As a result, organizations are giving more prominence for extracting valuable insights from the information available and the responsibility is mainly handled by data science professionals. It has generated an enormous scale of job opportunities for data science professionals in the market.

In order to meet this demand, Chitkara University is offering specialization in Data Analytics for Computer Science Engineers, which will help students find better jobs in this sector.

Program Learning Outcomes
  • Learn a set of data science principles, tools, and techniques to solve real-world business problems and also suggest a suitable solution with relevant findings.
  • Recognize various issues in everyday business; apply data science for better understanding of data-driven management decisions to help organizations get an edge over competition
  • Provide insight into leading analytic practices, design and lead iterative learning and development cycles.
  • Knowledge on producing new and creative analytic solutions that will become part of any business core deliverables
  • Knowledge on how to improve business results by building data fuelled products that help their customers
Career Opportunities

According to NASSCOM, the big data analytics market will reach $16 billion by the year 2025 growing eightfold from its market worth in 2016. And India will require over 200,000 data scientists by 2018 as per various industry insights. There are mainly four types of companies/organizations looking for data scientist such as:

Large IT Companies who have an Analytics Practice – Infosys, TCS, Cognizant, Wipro, Oracle.

Analytics KPOs – Genpact, WNS.

In-House Analytics Units of Large Corporates – Citibank, Dell, HP, Spencers, Target.

Core Analytics firms – Brainmatics, Fractal Analytics, Mu Sigma.

Some of the profiles, which students can look forward to in such organizations are:

Data Engineer Citizen Data Scientist Enterprise Data Analyst
Machine Learning Engineer Business analyst Data Analyst
Data Manager Intelligence Analyst Information Security Analyst
Cyber Security Specialist Risk Analyst