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Commerce CA

Faculty Details

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Name: Dr. R. Dhanasekaran

Qualification:M.C.A.,Ph.D

Designation:HOD

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Name:Mr. M.N.Haseeb Ur Rahman

Qualification: M.Sc.,M.Phil.,

Designation:Assistant Professor

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Name:Ms. V. Kavipriya

Qualification:M.Sc.,M.Phil.,

Designation:Assistant Professor

B.Sc Computer Science - AI & ML

About Department.

The Department of Computer Science – Artificial Intelligence and Machine Learning was started during the academic year 2023 – 2024. This is a hot core field that is rapidly growing in the fast-changing world and powering for great industrial revolution. A software giant has predicted that around 75 million conventional jobs may disappear while 130 million jobs created during the revolution of AI and ML. It is estimated that by 2025, 30% of the jobs will end-up unfilled due to required skills shortage.

Salient Features

  1. Well-equipped laboratory with latest and updated software.
  2. Student-centric, meeting the demands of industry & society, incorporating industrial components, hands-on training, skill enhancement modules, industrial project, project with viva-voce.
  3. Exposure to entrepreneurial skills, training for competitive examinations, sustaining the quality of the core components and incorporating application oriented content wherever required.
  4. The curriculum is designed so as to strengthen the Industry-Academia interface and provide more job opportunities for the students.

VISION

To enrich computer education for rural students, by enhancing knowledge and building confidence for facing global competition.

MISSION

  1. To provide a learning ambience to enhance innovations, problem solving skills, leadership qualities, team-spirit and ethical responsibilities.
  2. To inculcate the latest tools and technologies for software development to cope with current industrial needs.

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

PEO1

To solve wide range of real time problems in computing by effectively applying tools and techniques in order to cater the needs of industry and society.

PEO1

To inculcate the multidisciplinary approach, professional attitude and communication skills, to develop in their professional career through life-long learning and higher education.

PEO1

To create an inventive career path by applying innovative project management techniques to become a successful software professional as well as entrepreneur.

PROGRAMME OUTCOMES (PO)

After completion of the programme, the graduates will be able to

PEO1

Apply the fundamental knowledge in algorithms, programming languages and technical skills to solve problems.

PEO1

Exhibit the acquired skills in different domains such as Project Management, Risk Management and Change Management.

PEO1

Identify and formulate the techniques, skills, modern tools to solve real time problems.

PEO4

Design and construct the software systems of varying complexity with awareness on innovation and sustainable development and to enable the graduates to design and model AI based solutions to critical problem domains in the real world.

PEO5

Analyze the local and global impact of eco-friendly hardware/software applications for sustainable development with professional and ethical responsibilities.

Course Eligibility

Passed in 12th, CBSE, State board with Compulsory Subjects Mathematics, Computer Science, Computer Applications, Business Mathematics.

Who can Apply or Study

Those who studied the following subjects in 12th standard

  1. Mathematics, Biology
  2. Mathematics, Computer Science
  3. Statistics, Computer Science
  4. Business Mathematics
  5. Computer Applications

Scheme of Syllabus

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Scope /Opportunity:
Government Sector

  1. Machine Learning Engineer
  2. Software Engineers in Public Sector Companies like BHEL, ONGC, IOCL, IGARC etc.,
  3. NITI Aayog
  4. -Specific areas of Health, Agriculture, Smart Cities etc.,
  5. National Informatics Center
  6. -Information Officer

Private Sector

  1. Data Analysts
  2. AI Research Scientists
  3. AI Engineer
  4. Data Engineer
  5. IT/ITES
  6. E-commerce
  7. IOT
  8. Machine Learning Engineer
  9. Chatbots
  10. Education Sector
  11. Health care Sector
  12. Transport Industry/Manufacturing Industry
  13. Agriculture

Placement Details:

Nearly 90% of the students are placed in Level – 5 companies from the parent department i.e., B.Sc. – Computer Science with good salary package.

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