Department of Computer Science with Data Analytics

Program Educational Objectives (PEOs)
The B.Sc. Computer Science with Data Analytics program describe accomplishments that graduates are expected to attain within five to seven years after graduation.
PEO1 Develop in depth understanding of the key technologies in data science and business analytics:
data mining, machine learning, visualization techniques, predictive modeling, and statistics
PEO2 Apply principles of Data Science to the analysis of business problem
PEO3 Demonstrate knowledge of statistical data analysis techniques utilized in business decision
making.
PEO4 To enhance communicative skill and inculcate the spirit through professional activities and to solve the complex problems in data analysis
PEO5 To embed human values and professional ethics in the young minds and contribute towards nation building
Programme Outcomes (POs)
On successful completion of the B.Sc. Computer Science with Data Analytics
PO1 Disciplinary knowledge: Capable to apply the knowledge of mathematics, algorithmic
principles and computing fundamentals in the modeling and design of computer based systems
of varying complexity.
PO2 Scientific reasoning/ Problem analysis: Ability to critically analyze, categorizes, formulate and
solve the problems that emerges in the field of computer science with Data Analytics
PO3 Problem solving: Able to provide software solutions for complex Data Analysis problems or
processes that meet the specified needs with appropriate consideration for the public health and
safety and the cultural, societal and environmental considerations
PO4 Environment and sustainability: Understand the impact of software solutions in environmental and societal context and strive for sustainable development
PO5 Modern tool usage: Use contemporary techniques, skills and tools necessary for integrated
solutions
PO6 Ethics: Function effectively with social, cultural and ethical responsibility as an individual or as a team member with positive attitude.
PO7 Cooperation / Team Work: Function effectively as member or leader on multidisciplinary
teams to accomplish a common objective.
PO8 Communication Skills: An ability to communicate effectively with diverse types of audience
and also able to prepare and present technical documents to different groups.
PO9 Self–directed and Life–long Learning: Graduates will recognize the need for self–motivation
to engage in lifelong learning to be in par with changing technology
PO10 Research: Enhance the research culture and uphold the scientific integrity and objectivity.

B.Sc. Computer Science with Data Analytics Effective from the year 2022 onwards

Program Specific Outcomes (PSOs)
After the successful completion of B.Sc. Computer Science with Data Analytics program, the students are expected to
PSO1 Impart education with domain knowledge and key technologies in data science and business analytics like data mining, machine learning, No SQL, visualization techniques, predictive modeling, and statistics effectively and efficiently in par with the expected quality standards for Data analyst professional.
PSO2 Ability to apply the mathematical, technical and critical thinking skills in the discipline of
Data analytics to find solutions for complex problems.