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Data Analytics

B.Sc. Computer Science - Data Analytics

Department of Computer Science - Data Analytics

      In today’s data-driven world, the rapid growth of data and the insights it can generate have fueled a global demand for skilled Data Analytics professionals. To meet this need, the Department of Computer Science – Data Analytics was established in 2025.
     Our B.Sc. in Computer Science – Data Analytics program blends a strong foundation in computer science with advanced analytical and computational techniques, equipping  students to make impactful, data-driven decisions.
      Beyond academics, the department fosters experiential learning through guest lectures, workshops, debugging contests, quiz programs, and technical competitions. These initiatives empower students to showcase their abilities, enhance practical skills, and stay ahead in the fast-evolving field of Data Analytics.

Vision

To establish itself as a premier hub for computer science and data analytics education by encouraging creativity, cultivating critical thinking, and generating skilled professionals who use technology and data-driven decision-making to address real-world issues.

Mission

• To establish itself as a premier hub for computer science and data analytics education by encouraging creativity, cultivating critical thinking, and generating skilled professionals who use technology and data-driven decision-making to address real-world issues.
• To work with academic institutions and business to offer practical experience through research opportunities, live projects, and internships.
• To develop students' capacity for problem-solving and analytical thought so they can turn information into useful ideas for business and societal progres.

PROGRAMME EDUCATIONAL OBJECTIVE (PEO)

PEO1: To provide a solid grasp of foundational concepts and data analytics tools so that they can be used to solve practical issues.
PEO2: To cultivate a multidisciplinary perspective, a professional demeanour, and effective communication skills in order to advance their professional careers through higher education and lifelong learning.
PEO3: To enable the graduates to assume leadership positions by cultivating an entrepreneurial spirit and giving them the tools to propel innovation, utilize emerging technology, and make data-driven organizational decisions.

PROGRAMME OUTCOMES (PO)

After completion of the Programme, the graduates will be able to
PO1: Apply the principles of Computer Science, Mathematics and Data Analytics to leverage the foundational knowledge to design efficient algorithms and systems.
PO2: Analyze complex computational problems and techniques for devising effective solutions using data analytics tools and methodologies.
PO3: Design and develop scalable solutions, utilizing big data technologies to address the dynamic needs of various industries.
PO4: Conduct comprehensive research into complex problems, applying critical thinking and advanced methodologies to develop innovation.
PO5: Analyze effective skills in Project Management, Risk and Change Management with professional and ethical responsibilities.

PROGRAMME SPECIFIC OUTCOMES (PSO)

After completion of the Programme, the graduates will be able to
PSO1: Apply data analysis techniques to process, interpret, and visualize large datasets for actionable insights.
PSO2: Use modern data analytics tools and technologies to implement solutions for real-world problems.
PSO3: Design scalable solutions for big data analysis using Cloud Computing platforms and technologies.
PSO4: Integrate data analytics into business processes to enhance decision-making and optimize operations.
PSO5: Ethical principles to ensure fairness, privacy, and transparency in data collection, analysis and interpretation.

Eligibility

     A candidate who has passed in Higher Secondary Examination with Mathematics or Business Mathematics or Computer Science or Statistics (Academic stream or Vocational stream) as one of the subject under Higher Secondary Board of Examination, Tamil Nadu as per norms set by the Government of Tamil Nadu or an Examination accepted as equivalent thereto by the syndicate, subject to such conditions as may be prescribed thereto are permitted to appear and qualify for the Bachelor of Science in Computer Science with Data Analytics degree examination of this University after a course of study of three academic years.

DATA Analytics NEWSLETTER (JUNE - NOVEMBER )

Faculty Details

Client Photo

Name: Mr . A . VENUGOPAL

Qualification:M.Sc.(CT).,M.B.A.,M.C.A.,M.Phil.,NET

Designation:HOD

Value Added Courses

Web designing
Data Analytics using SPSS
Data visualization using Tabeleau
Forensic diagnosis
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