Er. Perumal Manimekalai College of Engineering AutonomousAccredited by NAAC with 'A' Grade Approved by AICTE, New DelhiAffiliated to Anna University, Chennai

Undergraduate Bachelor of Engineering

B.E. Artificial Intelligence and Data Science

A four-year undergraduate programme leading to the degree of Bachelor of Engineering, offered by the Department of Artificial Intelligence and Data Science.

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Level
Undergraduate
Duration
4 years · 8 semesters
Degree
B.E.
Department
AI & DS

Curriculum

What you will study

The courses the programme is built from, semester by semester.

Regulations and syllabi

The curriculum and syllabus of every programme taught under Regulation 2023 are published by the Controller of Examinations. Regulations and syllabi

Courses by semester

As the department publishes them.

  1. Semester 1

    Year 1 · 10 courses

    • Induction Programme IP3151
    • Professional English - I HS3151
    • Matrices and Calculus MA3151
    • Engineering Physics PH3151
    • Engineering Chemistry CY3151
    • Problem Solving and Python Programming GE3151
    • அறிவியல் தமிழ் /Scientific Thoughts in Tamil GE3152
    • Problem Solving and Python Programming Laboratory GE3171
    • Physics and Chemistry Laboratory BS3171
    • English Laboratory GE3171

  2. Semester 2

    Year 1 · 11 courses

    • Professional English - II HS3251
    • Statistics and Numerical Methods MA3251
    • Physics for Information Science PH3256
    • Basic Electrical and Electronics Engineering BE3251
    • Engineering Graphics GE3251
    • Programming in C CS3251
    • தமிழர் மரபு /Heritage of Tamils GE3252
    • NCC Credit Course Level 1
    • Engineering Practices Laboratory GE3271
    • Programming in C Laboratory CS3271
    • Communication Laboratory / Foreign Language GE3272

  3. Semester 3

    Year 2 · 9 courses

    • Discrete Mathematics MA3354
    • Digital Principles and Computer Organization CS3351
    • Foundations of Data Science CS3352
    • Data Structures and Algorithms CD3291
    • Object Oriented Programming CS3391
    • Data Structures and Algorithms Laboratory CD3281
    • Object Oriented Programming Laboratory CS3381
    • Data Science Laboratory CS336
    • Professional Development GE3361

  4. Semester 4

    Year 2 · 9 courses

    • Theory of Computation CS3452
    • Artificial Intelligence and Machine Learning CS3491
    • Database Management Systems CS3492
    • Web Essentials IT3401
    • Introduction to Operating Systems CS3451
    • Environmental Sciences and Sustainability GE3451
    • NCC Credit Course Level
    • Operating Systems Laboratory CS3461
    • Database Management Systems Laboratory CS3481

  5. Semester 5

    Year 3 · 8 courses

    • Computer Networks CS3591
    • Full Stack web Development IT3501
    • Distributed Computing CS3551
    • Embedded Systems and IoT CS3691
    • Professional Elective I
    • Professional Elective II
    • Mandatory Course- I
    • Full Stack web Development Laboratory IT3511

  6. Semester 6

    Year 3 · 9 courses

    • Object Oriented Software Engineering CCS356
    • Open Elective – I
    • Professional Elective III
    • Professional Elective IV
    • Professional Elective V
    • Professional Elective VI
    • Mandatory Course-II
    • NCC Credit Course Level 3
    • Mobile Application Development Laboratory IT3681

  7. Semester 7

    Year 4 · 6 courses

    • Human Values and Ethics GE3791
    • Elective - Management
    • Open Elective – II
    • Open Elective – III
    • Open Elective – IV
    • Summer internship IT3711

  8. Semester 8

    Year 4 · 1 course

    • Project Work/Internship IT3811

Outcomes

What graduates can do

The outcomes the programme is designed to deliver: what a graduate is expected to be able to do.

Course outcomes

  1. PSO Programme-specific outcomes

    What you will be able to do in Artificial Intelligence and Data Science

    The capabilities particular to this discipline.

    1. PSO 1

      Students should be able to provide an innovative solution based on artificial Intelligence and data science technologies for an effective decision making in several domains such as business, governance and society.

    2. PSO 2

      Students should be able to arrive at actionable insight and hindsight from big-data for solving business and engineering problems.

Careers

Where it leads

The sectors graduates go on to work in, and the roles they take up there, as the department sets them out.

Students of the Artificial Intelligence and Data Science department

Sectors

  • Software Developer / Engineer
  • Data Scientist Analyst
  • Data Analyst
  • Business Analyst
  • Cybersecurity Analyst
  • Intelligence Analyst
  • Cloud Computing Engineer
  • Artificial Intelligence / Machine Learning Engineer
  • Data Manager
  • Information Security Analyst
  • Data Security Administrator
  • Database Administrator
  • Government sectors

Roles

  • Analyzing Problems
  • Project Development
  • Product Design
  • Testing Process
  • Security
  • Research & Development

Admission

How to apply

Undergraduate engineering admissions are through TNEA counselling, where PMC Tech’s code is 2621, or apply to the college online.

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TNEA code 2621

The department

Where it is taught

Offered by the Department of

Artificial Intelligence and Data Science

Envisions students with profound Data Science skills and knowledge in the heterogeneous domains through Artificial Intelligence with innovative thinking for entrepreneurial, career and societal needs.

Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. This knowledge is…

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