CHRIST UNIVERSITY MSC DATA ANALYTICS COURSE OVERVIEW
The postgraduate course focuses on the technical and practical aspects of data science and includes hands-on practical exposure in relevant domains and tools. It is an interdisciplinary subject involving electronics, mathematics, probability, and statistics. It covers topics related to the methodical and strategic analysis of structured and unstructured data and conversion of qualitative data into quantitative profit. Candidates will have diverse knowledge about the power of big data and its diverse applications in data mining, analytics, storage, programming, and algorithms after successful completion of the course.
The course aims to interlink the gap between IT industries and academics by incorporating the latest advancements, developments, research models, and industry standard applications of data science into the curriculum. The course is strengthened further by a strong academic foundation, experienced faculty, IT experts, excellent infrastructure, well-equipped laboratories, and essential facilities like super-fast connectivity and the latest software. The Placement Cell encourages fresh talent and provides multiple career opportunities in the top IT companies and organizations.
Candidates who take up the MSc Data Analytics course in Christ University Bangalore will have diverse knowledge about the multiple applications of data science and analytics to overcome current IT challenges.
Skills like project management, logical reasoning, team work, planning and execution, organization, analytical reasoning, decision-making are enhanced through tools like case studies, presentations, webinars, seminars, internships, projects, workshops, and guest lectures included in MSc Data Analytics in Christ University.
DURATION OF MSC DATA ANALYTICS COURSE IN CHRIST UNIVERSITY
- 2 years (6 trimesters)
- Full time, Postgraduate Programme
AFFILIATION & APPROVALS
- Government of India
- Deemed-to-be University
- Accredited by NAAC
- Approved by UGC
PROGRAM OBJECTIVES
- To provide a strong foundation in Data Analytics and its many applications
- To create graduates who can analyze real-time problems by applying various programming tools and techniques
- To provide practical experience and exposure so that candidates can design and develop immediate solutions for real-time business problems
- To provide an environment of adaptability and continuous learning
- To develop and enhance skills like handling, managing, analyzing and interpreting data
- To integrate the concepts of ethical, holistic, and human values to ensure quality research and develop solutions to social problems