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  • prompt Engineering

Autonomous

NIRF

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VISION

To uniquely position the department and to establish synergistic relationship across the entire spectrum of disciplines involved with computing by our faculty contributing to Computer Science and devoting themselves to take the maximal advantage of modern Computer Science to solve a wide range of complex, scientific, technological and social problems.

MISSION 

  1. To pursue our vision by striving for excellence in creating, applying, and imparting knowledge in Computer Science and Engineering.

  2. To pursue comprehensive educational system, research in collaboration with industry and Government and to disseminate knowledge through scholarly publications.

  3. To provide service through professional societies to the community, the state, and the nation.

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs) 

  1. Graduates, within four years of graduation, should demonstrate peer- recognized expertise together with the ability to articulate that expertise and use it for contemporary problem solving in the analysis, design, and evaluation of computer and software systems, including system integration and implementation.

  2. Graduates, within four years of graduation, should demonstrate engagement in the engineering profession, locally and globally, by contributing to the ethical, competent, and creative practice of engineering or other professional careers.

  3. Graduates, within four years of graduation, should demonstrate sustained learning and adapting to a constantly changing field through graduate work, professional development, and self-study.

  4. Graduates, within four years of graduation, should demonstrate leadership and initiative to ethically advance professional and organizational goals, facilitate the achievements of others, and obtain substantive results.

  5. Graduates, within four years of graduation, should demonstrate a commitment to teamwork while working with others of diverse cultural and interdisciplinary backgrounds.

PROGRAMME OUTCOMES (POs) 

Engineering Graduates will be able to: 

  1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

  2. Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

  3. Design/Development Of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

  4. Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

  5. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

  6. The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

  7. Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

  9. Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

  11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

  12. Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAMME SPECIFIC OBJECTIVES (PSOs) 

1. Design and Compute computer programs using appropriate algorithm, programming language and principles of mathematics.

2. Apply standard engineering and management practices in computer based systems to provide solutions to complex engineering problems.

3. Create innovative solutions for web and mobile based applications using recent technologies.

Flexible choice based credit system

The learner can select the course he is interested to study during a semester. The course can be opted by the learner, with the prerequisite courses completed by the learner. For courses which do not have prerequisite, the learner can study the course in any semester, whenever its offered.

The learner should have earned the credits in each category namely HS, BS, ES, PC, PE, OE, MC to become eligible for the award of the degree.

CATEGORIZATION OF COURSES 

A. HUMANITIES AND SOCIAL SCIENCE COURSES (HS) (Credits to be earned: 11) 

S.No.

Course Code

Course Title

Contact Hours Per Week

Credits

Prerequisite

L

T

P

1

19EN101

Communicative English*

3

0

2

4

NIL

2

19EN102

Technical English*

3

0

2

4

NIL

3

19MS151

Principles of Management*

3

0

0

3

NIL

4

19MS152

Total Quality Management

3

0

0

3

NIL

5

19MS153

Management and Quality Principles for Engineering

3

0

0

3

NIL

Courses exempted for Lateral Entry students 

B. BASIC SCIENCE COURSES (BS) (Credits to be earned: 24 ) 

S.No.

Course Code

Course Title

Contact Hours Per Week

Credits

Prerequisite

L

T

P

1

19MA201

Calculus and Matrix Algebra*

3

1

0

4

NIL

2

19MA206

Logic and Combinatorics*

3

1

0

4

19MA201

3

19MA212

Algebra and Number Theory

3

1

0

4

19MA201

4

19MA218

Probability and Queueing Theory

3

1

0

4

19MA201

5

19PH205

Computational Physics*

3

0

2

4

NIL

 

6

 

19CY205

Principles of Chemistry in Engineering*

 

3

 

0

 

2

 

4

 

NIL

Courses exempted for Lateral entry students

C. ENGINEERING SCIENCE COURSES (ES) (Credits to be earned: 25) 

S.No.

Course Code

Course Title

Contact Hours Per Week

Credits

Prerequisite

L

T

P

1

19ME302

Engineering Drawing*

2

0

2

3

NIL

2

19CS301

Problem Solving and Python Programming

3

0

2

4

NIL

3

19EE305

Basic Electrical Electronics and Measurement Engineering*

2

0

2

3

NIL

4

19EC303

Digital Principles and System Design

3

0

2

4

NIL

5

19EC307

Communication Engineering*

3

0

0

3

NIL

6

19CS302

Programming in C

2

0

4

4

NIL

7

19CS305

Computer Architecture

3

0

0

3

NIL

8

19CS308

Software Testing Laboratory

0

0

4

2

19CS410

Courses exempted for Lateral Entry students

D. PROFESSIONAL CORE COURSES (PC) (Credits to be earned: 57) 

S.No.

Course Code

Course Title

Contact Hours Per Week

 

 

Credits

 

 

Prerequisite

L

T

P

1

19CS401

Data Structures and Object Oriented Programming using C++

3

0

2

4

19CS302

2

19CS402

Design and Analysis of Algorithms

3

0

0

3

19CS401/
19IT405

3

19CS403

Programming Paradigms

3

0

2

4

19CS401

4

19CS404

Database Management System and its Applications

3

0

2

4

19CS301/
19CS302

5

19CS405

Operating System

3

0

2

4

NIL

6

19CS406

Computer Networks

3

0

2

4

NIL

7

19CS407

Theory of Computation

3

0

0

3

19MA206

8

19CS408

Software Engineering

3

0

2

4

NIL

 

9

19CS409

Compiler Design

3    

0   

2    

4    

NIL

10

19CS410

Web Programming

3

0

2

4

NIL

11

19CS411

Virtualization and Cloud Computing

3

0

2

4

19CS406

12

19CS412

Cryptography and Network Security

3

0

2

4

19CS406

13

19CS413

Artificial Intelligence

3

0

2

4

NIL

 

14

 

19CS414

Mobile Application Development

 

1

 

0

 

4

 

3

19CS404/

19CS410

15

19EC408

Microprocessor and Microcontroller

3

0

2

4

19EC303

E. PROFESSIONAL ELECTIVE COURSES (PE) (Credits to be earned:15 ) 

S.No.

Course Code

Course Title

Contact Hours Per Week

Credits

Prerequisite

L

T

P

Professional Elective-I AI & Data Science Engineering

1

19CS501

Machine Learning

3

0

0

3

19MA211/
19MA212/
19MA217/
19MA218/
19MA207

2

19CS511

Natural Language Processing

3

0

0

3

19MA201

3

19CS519

Data Science

3

0

0

3

19CS301/
19CS501

4

19CS520

Big Data Analytics

3

0

0

3

19CS411/
19CS519

5

19CS521

Data Warehousing and Data Mining

3

0

0

3

19CS404

6

19CS522

Advanced Database Management System

3

0

0

3

19CS404

7

19CS523

Information Retrieval

3

0

0

3

19CS501/
19IT407

8

19CS524

Deep Learning

3

0

0

3

19CS501

9

19CS526

R Programming

2

0

2

3

19CS301/
19CS303

10

19CS512

Soft Computing

3

0

0

3

19CS501

 

11

19CS510

Social Network Analysis

3        

0        

0        

3        

19CS501/
19IT407

Professional Elective-II Software Design and Development

12

19CS504

Software Project Management

3

0

0

3

19CS408

13

19CS505

Service Oriented Architecture

3

0

0

3

19CS410

14

19CS503

Developing Web Application in .Net

3

0

0

3

19CS404,
19CS410

15

19CS507

Human Computer Interaction

3

0

0

3

19CS502,
19CS408

Professional Elective-III Visual Technologies

16

19CS502

Computer Graphics and Multimedia

3

0

0

3

19CS401

17

19CS518

Game Design and Development

3

0

0

3

19CS502

18

19EC416

Principles of Digital Signal Processing

3

0

0

3

19MA201,
19EC307

19

19EC503

Digital Image Processing

3

0

0

3

19EC416/
19EC409/
19EI403

20

19CS531

Virtual Reality

3

0

0

3

19CS301/
19CS303

21

19CS509

Graph Theory and Applications

3

0

0

3

19MA206

Professional Elective-IV Mobile & Networking Technologies

22

19CS517

Mobile Computing

3

0

0

3

19CS406/
19EC417

23

19EC508

Ad hoc and Wireless Sensor Networks

3

0

0

3

19CS406/
19EC412

24

19CS508

Parallel and Distributed Systems

3

0

0

3

19CS305/
19CS401

25

19CS530

Cyber Security

3

0

0

3

19CS412/
19EC506/
19EC306

26

19CS514

Network Management Systems

3

0

0

3

19CS406

27

19CS515

Block Chain Architecture and its Use Cases

3

0

0

3

19CS412/
19EC506/
19EC306

 

Professional Elective-V Hardware Technologies

28

19CS513

Green Computing

3     

0     

0     

3     

NIL

29

19CS506

Multicore Architecture

3

0

0

3

19CS305

30

19EC414

Embedded Systems

2

0

2

3

19EC408

31

19CS529

Quantum Computing

3

0

0

3

19CS301/
19CS303

32

19CS528

Robotics and its Applications

3

0

0

3

19CS302/
19EC408

 

F. OPEN ELECTIVE COURSES (OE) (Credits to be earned: 12)

S.No.

Course Code

Course Title

Credits

Remarks

1

19XXXXX

Open Elective Courses#

8

Courses offered by other departments

2

19OC601

Online Course I

2

 

Approved Courses

3

19OC602

Online Course II

2

 

 # Course will be offered by the Institution / Department in collaboration with industry.

G. EMPLOYABILITY ENHANCEMENT COURSES (EEC) (Credits to be earned: 16)

 

S.No.

Course Code

 

Course Title

 

L      

 

T      

 

P      

 

C      

 

Prerequisite

1

19CS701

Mini Project

0

0

4

2

NIL

2

19CS702

Project Work ( Phase – I)

0

0

4

2

NIL

3

19CS703

Project Work ( Phase – II)

0

0

12

6

NIL

4

19EY701

Soft skill

0

0

2

1

NIL

5

19EY702

Creative Skills for Communication

0

0

2

1

NIL

6

19EY703

System of Numerical and Logical Terminologies

0

0

2

1

NIL

7

19EY704

Advanced Quantitative and Logical Reasoning

0

0

2

1

NIL

8

19EY705

Employment Enhancement Skills

0

0

2

1

NIL

9

19EY706

Company Specific Assessments for Employability

0

0

2

1

NIL

 

Mandatory Courses (MC)
The learner should complete all the courses in this category to be eligible for award of the degree.

H. MANDATORY COURSES (MC)

S.No.

Course Code

Course Title

Credits

1

19MC801

Professional Ethics

0

2

19MC802

Environmental Science

0

3

19MC803

Constitution of India

0

4

19MC804

Internship/Entrepreneurship/Consultancy ( 4 Weeks)

2*

5

19MC805

Industrial Training / Inplant Training

1*

6

19MC806

Paper Publication

1*

7

19MC807

NSS#

0

8

19MC808

NSO#

0

9

19MC809

YRC#

0

*Credits not included for 
#Any one course to be taken

List of open elective courses
Learners can select any courses from the list of courses provided in the category, so as to earn 6 credits.

LIST OF OPEN ELECTIVES OFFERED BY VARIOUS DEPARTMENTS 

S.No.

Course Code

Course Title

L      

T      

P      

C      

Prerequisite

AGRICULTURE ENGINEERING

1

19AG601

Principles of Crop Production

2

0

2

3

NIL

2

19AG514

Food Packaging Technology

2

0

2

3

NIL

3

19AG509

Human Engineering and Safety

2

0

2

3

NIL

4

19AG424

Remote Sensing and GIS Applications

2

0

2

3

NIL

5

19AG421

Dairy and Food Engineering

2

0

2

3

NIL

BIOMEDICAL ENGINEERING

6

19BM601

Fundamentals of Nutrition

3

0

0

3

NIL

7

19BM602

Biomedical Waste Management

3

0

0

3

NIL

8

19BM603

Healthcare Technologies

3

0

0

3

NIL

9

19BM604

Prosthetic Engineering

3

0

0

3

NIL

10

19BM605

Medical Devices

3

0

0

3

NIL

11

19BM606

Biology for Engineers

3

0

0

3

NIL

CIVIL ENGINEERING

12

19CE510

Integrated Water Resources Management

3

0

0

3

NIL

13

19CE521

Air Pollution Engineering

3

0

0

3

NIL

14

19CE525

Traffic Engineering

3

0

0

3

NIL

15

19CE527

Construction Engineering and Occupational Safety

3

0

0

3

NIL

16

19CE528

Contract Laws and Regulations

3

0

0

3

NIL

 

ELECTRICAL AND ELECTRONICS ENGINEERING

17

19EE601

Embedded Based Product Design and Development

3     

0     

0     

3     

NIL

18

19EE602

Electrical Safety

3

0

0

3

NIL

19

19EE603

Renewable Energy Sources

3

0

0

3

NIL

20

19EE604

Fundamentals of Electric Power Utilization

3

0

0

3

NIL

21

19EE605

Industrial Automation and Robotics

3

0

0

3

NIL

22

19EE606

Solar Photovoltaic Energy

2

0

2

3

NIL

ELECTRONICS AND COMMUNICATION ENGINEERING

23

19EC601

Electronic Packaging

3

0

0

3

NIL

24

19EC602

Introduction To Micro Electro Mechanical Systems

3

0

0

3

NIL

25

19EC603

Fuzzy Logic Systems And ANN

3

0

0

3

NIL

26

19EC604

Consumer Electronics

3

0

0

3

NIL

27

19EC605

Electronic System Design

3

0

0

3

NIL

28

19EC606

Drones for Agriculture

3

0

0

3

NIL

ELECTRONICS AND INSTRUMENTATION ENGINEERING

29

19EI601

Electrical And Electronic Measurements

3

0

0

3

NIL

30

19EI602

Instrumentation And Control Systems

3

0

0

3

NIL

31

19EI504

Environmental Instrumentation

3

0

0

3

NIL

32

19EI508

SCADA Systems & Applications

3

0

0

3

NIL

33

19EI511

Telemetry and Tele Control

3

0

0

3

NIL

34

19BY201

Introduction to Biology

2

0

0

2

NIL

MECHANICAL ENGINEERING

35

19ME505

Computer Aided Design

2

0

2

3

NIL

36

19ME511

Automobile Engineering

2

0

2

3

NIL

37

19ME524

Sustainable and Green Manufacturing

2

0

2

3

NIL

38

19ME529

Process Planning and Cost Estimation

2

0

2

3

NIL

39

19ME531

Intellectual Property Rights

2

0

2

3

NIL

40

19ME601

Mechatronics and Robotics

2

0

2

3

NIL

41

19ME602

Hydraulic Drives and Controls

2

0

2

3

NIL

MEDICAL ELECTRONICS

42

19MD501

Tele Health Technology

3

0

0

3

NIL

43

19MD509

Bio MEMS

3

0

0

3

NIL

44

19MD512

Medical Wearable Systems

3

0

0

3

NIL

45

19MD601

Biomedical Sensors and Measurements

3

0

0

3

NIL

46

19MD602

Biomedical Optics

3

0

0

3

NIL

 

                                                                                                           CHEMICAL ENGINEERING

47 19CH503

Energy Technology

3 0 0 3 NIL

48

19CH505

Green Technology

3    

0    

0    

3    

 

49

19CH511

Food Technology

3

0

0

3

NIL

50

19CH512

Drugs and Pharmaceutical Technology

3

0

0

3

NIL

51

19CH516

Corrosion Technology

3

0

0

3

NIL

INFORMATION TECHNOLOGY

52

19IT517

Data Security

3

0

0

3

NIL

53

19IT518

Game Theory

3

0

0

3

NIL

54

19IT519

Data Analysis using R Programming

3

0

0

3

NIL

55

19IT520

Linux Fundamentals

3

0

0

3

NIL

56

19IT521

Internet Technologies

3

0

0

3

NIL

57

19IT522

Fundamentals of Databases

3

0

0

3

NIL

ENGLISH

58

19EN601

Creative Writing

2

0

0

2

NIL

59

19EN602

English through Media

2

0

0

2

NIL

60

19EN603

Introduction to Design

0

0

4

2

NIL

61

19EN604

Design Thinking

2

0

0

2

NIL

62

19EN605

Modern Trends in Physical Education and Sports Sciences

0

0

4

2

NIL

63

19EN606

Psychology for Professionals

2

0

0

2

NIL

64

19EN607

Heritage Studies

0

0

4

2

NIL

65

19EN608

MIME Theater Art

0

0

4

2

NIL

66

19EN609

Gender Sensitization

2

0

0

2

NIL

67

19EN610

French - Basic

0

0

4

2

NIL

68

19EN611

French - Advanced

0

0

4

2

19EN610

69

19EN612

Germen - Basic

0

0

4

2

NIL

70

19EN613

Germen - Advanced

0

0

4

2

19EN612

71

19EN614

Japanese - Basic

0

0

4

2

NIL

72

19EN615

Japanese - Advanced

0

0

4

2

19EN614

73

19EN616

Yoga and Meditation

0

0

2

1

NIL

74

19EN617

Product Design for future

0

0

4

2

NIL

75

19EN618

Indian Astronomy and Mathematics

2

0

0

2

NIL

76

19EN619

Inventions and Discoveries

2

0

0

2

NIL

77

19EN620

Mandarin

0

0

4

2

NIL

78

19EN621

Spanish - Basic

0

0

4

2

NIL

79

19EN622

Spanish - Advanced

0

0

4

2

19EN621

80

19EN623

Dream, Draw and Create

0

0

4

2

NIL

MATHEMATICS

81

19MA601

Resource Management Techniques

3

0

0

3

NIL

82

19MA602

Statistics For Engineers

3

0

0

3

NIL

LIST OF APPROVED ONLINE PLATFORMS 

S.No.

Course Platforms

Category

1.

NPTEL (nptel.ac.in/)

OE

2.

COURSERA (https://www.coursera.org/)

OE

CREDIT SUMMARY

Category

Credits

Credit%

Humanities and Social Science Courses

11

6.9

Basic Science Courses

24

15.0

Engineering Science Courses

25

15.6

Professional Core Courses

57

35.6

Professional Elective Courses

15

9.4

Open Elective Courses

12

7.5

Employability Enhancement Courses

16

10.0

Total

160

100

Mandatory Courses

4*

 

 * Not included for CGPA

SCHEDULING OF COURSES (SAMPLE)

Sem

Course 1

Course 2

Course 3

Course 4

Course 5

Course 6

Course 7/

Other Activities

Course 8

Credits

1

Communicative English (4)

Computational Physics (4)

Calculus and Matrix Algebra (4)

Engineering Drawing (3)

Problem Solving and Python Programming (4)

Programming in C (4)

Soft skill (1)

 

 24

2

Technical English (4)

Logic and Combinatorics (4)

Principles of Chemistry inEngineering (4)

Communication Engineering (3)

Basic Electrical Electronics andMeasurement Engineering (3)

Web Programming (4)

Creative Skills for Communication (1)

 

23

 

3

Algebra and Number Theory (4)

Digital Principles and System Design (4)

Data Structures and OOPs Using C++ (4)

Database Management Systems
and its Applications(4)

Operating System (4)

Software Testing Laboratory (2)

System of Numerical
and Logical Terminology (1)

 

23

4

Probability and Queuing Theory (4)

Design and Analysis of Algorithm (3)

Programming Paradigms (4)

Software Engineering (4)

Microprocessor and Microcontroller ( 4)

Online Course –I (2)

Advanced Quantitative and Logical Reasoning (1)

NSS/ NSO/ YRC#

22

5

Computer Networks (4)

Theory of Computations (3)

Computer Architecture (3)

Professional Elective - I (3)

Principles of Management (3)

Mini Project (2)

Employment Enhancement skills (1)

Inplant Training (1)*

19

6

Compiler Design (4)

Virtualization And Cloud Computing (4)

Artificial Intelligence (4)

Professional Elective -II (3)

Open Elective – I (3)

Foreign Language (2)

Company Specific Assessment for Employability (1)

 

21

7

Cryptography And Network Security (4)

Mobile Application Development (3)

Professional Elective -III (3)

Open Elective -II (3)

Online Course – II (2)

Project Work Phase – I (2)

Paper Publication(1)*

 

17

8

Project Work Phase – II (6)

Professional Elective - IV (3)

Professional Elective -V (3)

 

 

 

 

Intern ship (2)*

12

Total Credits to be earned

 

161+4*

 * – Mandatory Courses

 NOMENCLATURE

CODE

DEFINITION

AG

AGRICULTURE ENGINEERING

BM

BIOMEDICAL ENGINEERING

BS

BASIC SCIENCE

C

CREDITS

CE

CIVIL ENGINEERING

CH

CHEMICAL ENGINEERING

CS

COMPUTER SCIENCE AND ENGINEERING

CY

CHEMISTRY

EC

ELECTRONICS AND COMMUNICATION ENGINEERING

EE

ELECTRICAL AND ELECTRONICS ENGINEERING

EI

ELECTRONICS AND INSTRUMENTATION ENGINEERING

EN

ENGLISH

ES

ENGINEERING SCIENCE

EY

EMPLOYABILITY ENHANCEMENT COURSES

HS

HUMANITIES AND SOCIAL SCIENCES

IT

INFORMATION TECHNOLOGY

L

LECTURE

MA

MATHEMATICS

MC

MANDATORY COURSE

MD

MEDICAL ELECTRONICS

ME

MECHANICAL ENGINEERING

MS

MANAGEMENT

OC

ONLINE COURSE

OE

OPEN ELECTIVE

P

PRACTICAL

PC

PROFESSIONAL CORE

PE

PROFESSIONAL ELECTIVE

PH

PHYSICS

T

TUTORIAL

Placements

placement sec 2021

Saveetha Engineering College (SEC) has always been a favourite destination of recruitment for over 230+ Multinational companies and firms. Our focus on placement centers on creating new approaches to attract the best from the industry to our campus.

  • 97% Placement in 2023 Batch.
  • 197 plus Multinational Company visited our Campus
  • 1302 Placement Offers
  • Highest CTC of Rs. 34 Lakhs per annum
  • Average CTC of Rs. 5.36 Lakhs per annum

Testimonial

  • Prof. K. K. Aggarwal, Chairman -NBA, New Delhi

    I have seen this college is taking the full advantage of Autonomous status and designed the curriculum properly. The placement of this college is very good. It was pleasant to see that the greatest paradigm of the education based on quality curriculum, outcome based education, and new emerging technologies are implemented in the curriculum. I'm very sure that the graduates of this college will continue to serve the society.
  • Mr. Jayaprakash Gandhi, Career Consultant & Analyst

    Feeling great to be at Saveetha Engineering College. Students are very interactive and eager to learn emerging technologies. Best wishes.
  • Mr. Udayakumar Ramamoorthy, Managing Director, Cloud First Products and Platforms, Accenture - India

    Unbelievable campus and was amazed with the Lab infrastructure, Teaching methodology and Framework. Very well informed and researched leadership. It was a pleasant and wonderful experience at SEC.
  • Ms. Rohini, Master's in Electrical and Computer Engineering, University of Windsor, Canada

    The most significant period of my student life was at Saveetha Engineering College (SEC). In SEC I learned the confidence to accomplish something that I previously thought was quite unachievable. When I got the chance to pursue an engineering degree, I was eager to learn new skills in the heart of Chennai, particularly at the SEC, to prepare me for the remainder of my coursework and future employment. If you want a fantastic environment and intriguing study options right in Chennai, SEC is one of the BEST options. I am now a proud Saveetha Engineering College alumni who have accomplished something greater than my wildest dreams.
  • Ms. Chandragiri Preethi, Master’s in Business Analytics, University of New Haven, USA

    My journey with Saveetha Engineering College (SEC) was incredible. We all know that college life plays a vital role in every student's life. I have enjoyed my student life during my Bachelor’s. Saveetha enhances the students to gain knowledge and confidence in every aspect. We have the best faculty and infrastructure too. The years I spent here, gave me a lot of memories for a lifetime. I got placed in IBM as an Associate Application Developer through Saveetha placements. Currently, I am pursuing my Master’s in Business Analytics at the University of New Haven, USA.
  • Ms. E. Cindhu, Application Developer, IBM

    College life is known as one of the most memorable years of one's life. It is entirely different from school life. In same way college life at Saveetha exposes us to new experiences and things that we were not familiar with earlier. Saveetha Engineering College provides us wide variety of activities from which students can explore academics, sports and lot more co-curricular events. These activities not only allow students to interact with each other but also help them to grow their selfconfidence. I elect myself as one of the examples. I built lot more self-confidence to face the external world with courage. Also, I had student friendly environment which makes me free to raise queries regarding academics and co-curricular activities.
  • Mr. Raghavender, placed at SAP

    Hi! Education is our passport to the future. Saveetha Engineering College, so passionately encouraged us to explore more in the field of engineering. Being a Computer Science graduate, I was provided with immense opportunities such as Hackathons, Technical Events, and Webinars of various Top organizations. Professors are very friendly-minded and helped us to explore to the fullest.
  • Ms. S. Divya, SAP Consultant, IBM India Pvt. Ltd.

    A college is a crucial part of everyone's life. To learn, have fun and set up a path in your career! A college is moreover a collaboration of everything to make us a better person in life by expertise! If you admit it, then trust me Saveetha Engineering College is probably the best! I have been to three Hackathons in my four years journey. We had an opportunity to showcase our technical skills and present our projects to the Government of India.
  • Mr. Thilak Gowtham T N, Product Consultant, ZOHO

    Saveetha Engineering College (SEC) gave me a phenomenal space for holistic development. SEC has set up grounds for a complete progressive career. Saveetha Engineering College has been a turning point and my alma mater for success. Along with work, I am also a part of the Executive MBA class from a top B school that happened due to the rich experience I had during my undergraduate days at SEC.

Eminent Alumni

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