Data Science (M.Sc)

The two-year pg degree programme in data science course was started in the year 2022. M. Sc data science has evolved as an important field and is about data gathering, analysis and decision-making. 

It is about finding patterns in data, through analysis, and making future predictions to increase the revenue in any business organization. There are several employment opportunities and after successful completion of M.Sc Data Science students can employed directly in companies as Data Scientist, Data Analyst, Machine Learning Engineer, Machine Learning Scientist, Applications Architect, Enterprise Architect, Data Architect, and Data Engineer.

Learning Outcomes:

• Ability to apply knowledge of basic sciences, mathematics, probability and statistics, Computer science and solve problems.
• An ability to understand research methods used to collect and analyze data for decision making.
• Develop and implement data analysis strategies based on theoretical principles, and
• detailed knowledge of the underlying data.
• Ability to collaborate as team members and team leaders to facilitate cutting-edge technical solutions for computing systems and thereby providing improved functionality.
• To provide a concrete foundation and enrich their abilities to qualify for Employment, and Research in the field of computers and Data science with ethical values
• Ability to apply their skills in the field of computers and data science and pursue life long professional development.

Program Objective:

• Provides an in-depth understanding of the key technologies in Data Science and Business Analytics.
• Able to gain practical hands-on experience with various software tools like Knime, SPSS and many more advanced technological models related to data analysis.
• Acquire a thorough knowledge in exploring and visualizing data, analysing data and applying machine learning to planning based on acquired insight.

Eligibility Criteria:

• Should have acquired a degree from any recognized university / College in Data Science / Computer Science / Computer Applications / Information Technology / Mathematics / Statistics under 10+2+3 stream.