Five Year Integrated M.Sc Programmes (SS/TCS/DS/CS)



Department of Applied Mathematics and Computational Sciences



Five Year Integrated M.Sc Programmes

Software Systems Theoretical Computer Science Data Science Cyber Security
About the Department

The Department of Applied Mathematics and Computational Sciences, one of the largest departments in PSG Tech, working with a vision of "Stay ahead and be relevant" comprises of dedicated faculty members who are undoubtedly the assets worthy of mention. The Department is known for its discipline and for the importance it gives to the overall development of students in grooming them towards becoming good professionals. It provides a strong foundation in Mathematics & Computer Science and exposes students to the current on-going research and development. The Department has its own library with the latest books, national and international journals and magazines. The computer centre is well equipped with the most recent hardware and software. The faculty members participate regularly in workshops and symposia conducted by top-notch Universities, Research Institutions and Professional Bodies like Association for Computing Machinery (ACM), IEEE. The department organizes technical symposia at national and international levels at regular intervals. Apart from motivating towards consistent and good academic performance, the department encourages participation in co-curricular and extracurricular activities to bring out the latent talents in its students. The students are provided with ample opportunities to improve their organizational skills and group dynamics.

About the Programmes

M.Sc. Software Engineering programme was started in the year 1997 for the first time in the country and well received by leading software industries across the globe. The programme has been designed to meet the challenging needs of the industry, by ensuring a good understanding of the software design process and to develop resilient applications using state-of-the art technologies. The programme has been renamed as Software Systems since 2014.

M.Sc. Theoretical Computer Science is yet another innovative programme introduced in 2007. Any industry grows only if it has a strong R&D division. In order that Research be fruitful, the R&D Team should have persons with strong theoretical background. “It is the theory that describes what can be observed”, said Albert Einstein. M.Sc Theoretical Computer Science has been designed to augment human resources for the R&D divisions of software industries.

Increasing demand in processing and handling the plethora of data, the Department of AM&CS started an innovative five year integrated M.Sc Data Science programme at PSG College of Technology in the year 2015, the first of its kind in India. The curriculum of the programme is well designed to provide rigorous training on the scalable techniques for big data analysis, machine learning, operations research, and artificial intelligence. This programme will equip the students to provide holistic experience encompassing technical and leadership skills which are vital for successfully creating value through analytics and AI in any domain. The graduates from this programme are in huge demand by the industry with an excellent placement record.

As the drive towards digital transformation continues to ceaselessly gather momentum, they also significantly raise cyber security risks and threat levels. Business is evolving itself at the pace of algorithmic speeds and digital risks are constantly challenging even the most financially robust companies. With the huge skills gap of cyber security workforce globally, there is an urgent need to modernize Cyber security education to include vital skills. The five year integrated M.Sc. Cyber Security programme, the first of its kind in India aims to prepare students with the technical knowledge and skills needed to protect and defend computer systems and networks. The programme has a strong and wide technical base and internship programs which are the most critical aspects to a good cyber security education.

All the above programmes have two 6 months internships (one in 7th semester and another in 10th semester) in reputed industries and top-notch institutions, a unique feature for the success of the programmes.


The Curriculum

  • Calculus and Its Applications
  • English for Professional Skills
  • Combinatorics
  • Analog and Digital Electronics
  • C Programming
  • Engineering Graphics And Geometric Modelling
  • C Programming Lab
  • Digital Electronics Lab
  • Personality And Character Development

  • Applied Linear Algebra
  • Probability & Statistics
  • Data Structures and Algorithms
  • Object Oriented Programming
  • Computer Organization
  • Data Structures Lab
  • Object Computing Lab
  • Python Programming Lab
  • Personality And Character Development

  • Mathematical Foundations of Computing
  • Database Management System
  • Transform Techniques
  • Design and Analysis of Algorithms
  • Microprocessor and Embedded Systems
  • Design and Analysis of Algorithms
  • Embedded Systems
  • RDBMS Lab

  • Accounting and Financial Management
  • Computer Networks and TCP/IP
  • Operations Research
  • Software Engineering Techniques
  • Operating Systems
  • Computer Networks and TCP/IP Lab
  • Mathematical Computing Lab (with R)
  • Web Designing Lab

  • Unix Architechture and Programming
  • Java Programming
  • Machine Learning
  • Principles of Compiler Design
  • Professional Elective I
  • Unix Shell and System
  • Programming Lab
  • Java Programming Lab
  • Machine Learning Lab

  • Mobile COmputing
  • Artificial Intelligence
  • Software Patterns
  • Security in Computing
  • Professional Elective II
  • Mobile Computing Lab
  • Artificial Intelligence Lab
  • Distributed Enterprise Computing Lab

  • Project Work I - Duration of 6 months

  • Information Retrieval
  • Data Mining
  • Software Project Management
  • Professional Elective III
  • Open Elective I
  • Information Retrieval Lab
  • Data Mining Lab
  • Capstone Project Lab

  • Computer Vision and Image Analysis
  • Software Testing
  • Deep Learning
  • Professional Elective IV
  • Open Elective II
  • Deep Learning Lab
  • Computer Vision Lab
  • Functional Programming Lab
    • Project Work II - Duration of 6 months

    • Modelling and Simulation
    • Big Data and Modern Databases
    • Software Metrics
    • Parallel and Distributed Computing
    • Data Compression
    • Computer Graphics and Visualisation
    • Principles of Programming Languages
    • Agile Software Development
    • Devops
    • Cloud Computing
    • Social Network Analysis
    • Predictive Analysis
    • Advanced Computer Graphics
    • Big Data Analytics
    • Natural Language Processing
    • Internet of Thigns
    • Advanced Systems Programming
    • Statistical Learning
    • Virtual and Augumented Reality
    • Computer Forensics
    • Wireless Netwroks
    • Network Forensics
    • Randomized Algorithms
    • Reinforcement Learning
    • Principles of Management and Behavioral Science
    • Entrepreneurship
    • Applied Graph Theory
    • Environmental Science
    • Quantum Mechanics and Fundamentals of Quantum Computation
    • Computational Foundations for Robotics
    • Computational Finance

    • Calculus and Its Applications
    • Applied Physics
    • Analog and Digital Electronics
    • Problem Solving and C Programming
    • English for Professional Skills
    • Applied Physics and Digital Electronics Lab
    • C Programming Lab
    • Mathematics Laboratory
    • Personality And Character Development

    • Discrete Structures
    • Complex Variables and Transforms
    • Abstract Algebra
    • Data Structures and Algorithms
    • Object Oriented Programming
    • Computational Mathematics Lab with Python
    • Data Structures Lab
    • Object Oriented Programming Lab
    • Personality And Character Development

    • Linear Algebra
    • Graph Theory
    • Probability And Statistics
    • Advanced Data Structures
    • Computer Organization And Assembly Language Programming
    • Statistical Computing And R Programming Lab
    • Advanced Data Structures Lab
    • Assembly Language Programming Lab

    • Stochastic Processes
    • Database Design
    • Optimization Techniques
    • Operating Systems
    • Computer Networks
    • RDBMS Lab
    • Operating Systems Lab (Linux)
    • Computer Networks Lab

    • Theory Of Computing
    • Computational Number Theory And Cryptography
    • Machine Learning
    • Design And Analysis Of Algorithms
    • Professional Elective - I
    • Scientific Computing Lab
    • Design And Analysis Of Algorithms Lab
    • Java Programming Lab

    • Software Engineering
    • Computer Graphics And Visualization
    • Artificial Intelligence
    • Principles Of Compiler Design
    • Professional Elective – II
    • Computer Graphics And Visualization Lab
    • Artificial Intelligence Lab
    • Compiler Design Lab

    • Project Work 1 – Industry / Research Project - Duration of 6 months

    • Deep Learning
    • Parallel And Distributed Computing
    • Data Mining
    • Professional Elective III
    • Open Elective I
    • Parallel And Distributed Computing Lab
    • Data Mining Lab
    • Research Specialization Lab - I

    • Game Theory
    • Mathematical Modelling
    • Information Retrieval And Web Search
    • Professional Elective IV (Self Study)
    • Open Elective II
    • Modelling And Simulation Lab
    • Information Retrieval And Web Search Lab
    • Research Specialization Lab - II

    • Project Work 1 – Industry / Research Project - Duration of 6 months

    • Reinforcement Learning
    • Software Patterns
    • Natural Language Processing
    • Approximation Algorithms
    • Network Algorithmics
    • Social Network Analysis
    • Advanced Computer Graphics
    • Computer Vision And Image Analysis
    • Data Compression
    • Randomized Algorithms
    • Security In Computing
    • Advanced Operating Systems
    • Exact Algorithms For Hard Problems
    • Mobile Computing
    • Big Data And Modern Database Systems
    • Network Science
    • Security Modelling And Analysis
    • Internet Of Things
    • Epidemic Models
    • Statistical Learning
    • Large Scale Machine Learning
    • Computational Geometry
    • Computational Finance
    • Principles Of Management And Behavioral Sciences
    • Entrepreneurship
    • Computational Complexity Theory
    • Wireless Networks
    • Computational Foundations For Robotics
    • Geometry For Graphics
    • Digital Topology
    • Environmental Science And Green Computing
    • Functional Analysis

    • Calculus And Its Applications
    • Basics Of Computational Biology
    • Digital Electronics
    • Problem Solving & C Programming
    • English For Professional Skills
    • Engineering Graphics And Geometric Modelling
    • C Programming Lab
    • Digital Electronics Lab
    • Personality And Character Development

    • Discrete Structures
    • Abstract Algebra
    • Data Structures
    • Object Oriented Programming
    • Theory Of Probability
    • Object Computing Lab
    • Data Structures Lab 
    • Python Programming Lab
    • Personality And Character Development

    • Applied Statistics 
    • Linear Algebra
    • Graph Theory
    • Advanced Data Structures 
    • Computer Organization And Assembly Language Programming
    • Applied Statistics And R Programming Lab
    • Advanced Data Structures Lab
    • Java Programming Lab

    • Optimization Techniques
    • Data Base Design
    • Predictive Analytics
    • Operating Systems
    • Transforms And Its Applications
    • Data Analytics & Visualisation Lab
    • RDBMS Lab
    • Scientific Computing Lab

    • Design And Analysis Of Algorithms
    • Stochastic Models
    • Computer Networks
    • Machine Learning
    • Professional Elective-I
    • Design And Analysis Of Algorithms Lab
    • Machine Learning Lab
    • Capstone Project

    • Parallel And Distributed Computing
    • Deep Learning
    • Big Data &Modern Database Systems
    • Artificial Intelligence
    • Professional Elective –II
    • Parallel And Distributed Computing Lab
    • Big Data &Modern Database Systems Lab
    • Deep Learning Lab

    • Project Work I - Duration of 6 months

    • Reinforcement Learning
    • Natural Language Processing
    • Data Mining
    • Professional Elective-III
    • Open Elective-I 
    • Reinforcement Learning Lab
    • Natural Language Processing Lab
    • Data Mining Lab

    • Data Privacy And Security
    • Network Science
    • Information Retrieval & Web Search
    • Professional Elective – IV (Self Study)
    • Open Elective-II
    • Information Retrieval & Web Search Lab
    • Data Privacy And Security Lab
    • Network Science Lab

    • Project Work II - Duration of 6 months

    • Data Compression
    • Mobile Computing
    • Digital Image Processing
    • Multimedia Analytics
    • Computational Neuroscience
    • Pervasive Computing
    • Marketing Analytics
    • Web Analytics
    • Computer Graphics
    • Algorithms For Bioinformatics
    • Mathematical Modelling
    • Software Engineering
    • Software Patterns
    • Applied Graph Algorithms
    • Game Theory
    • Social Network Data Analytics
    • Health Analytics
    • Cyber Security Analytics
    • Internet Of Things
    • Cloud Computing
    • Large Scale Machine Learning
    • Wireless Networks
    • Survival Analytics
    • Randomized Algorithms
    • Computational Finance
    • Computational Geometry
    • Principles Of Management And Behavioural Sciences
    • Entrepreneurship
    • Information Theory And Error Control Coding
    • Accounting And Financial Management
    • Environmental Science And Green Computing
    • Functional Analysis
    • Advanced Optimization Techniques

    • Calculus And Its Applications
    • English For Professional Skills
    • Applied Physics
    • Digital System Design
    • Problem Solving And C Programming
    • Mathematical Foundations Lab
    • C Programming Lab 
    • Applied Physics Lab
    • Personality And Character Development

    • Discrete Structures
    • Algebra And Number Theory
    • Data Structures 
    • Object Oriented Programming
    • Computer Architecture
    • Data Structures Lab 
    • Object Computing Lab 
    • Python Programming Lab 
    • Personality And Character Development

    • Probability And Statistics
    • Microcontrollers And Embedded Systems
    • Linear Algebra 
    • Database Design 
    • Design And Analysis Of Algorithms
    • Embedded Systems Lab
    • Design And Analysis Of Algorithms Lab
    • Database Design Lab

    • Optimization Techniques
    • Computer Networks 
    • Operating Systems 
    • Cryptography
    • Hardware Security
    • Computer Networks Lab
    • Operating Systems Lab 
    • Java Programming Lab

    • Network Security 
    • Web Engineering
    • Machine Learning 
    • Compilers And Program Analysis
    • Professional Elective I
    • Windows System Programming Lab 
    • Web Engineering Lab 
    • Ethical Hacking Lab

    • Cloud Security
    • Ubiquitous Computing
    • Cyber Security Analytics 
    • Secure Coding
    • Professional Elective II
    • Cloud Security Lab
    • Cyber Security Analytics And Visualization Lab
    • Distributed Computing Lab

    • Project Work I - Duration of 6 months

    • Software Security And Exploitation 
    • Mobile Security
    • Data Privacy
    • Professional Elective III
    • Open Elective I
    • Software Security And Exploitation Lab
    • Mobile Security Lab 
    • Malware Analysis Lab

    • Threat Hunting
    • Cryptoeconomics
    • Computer Forensics 
    • Professional Elective IV
    • Open Elective II
    • Threat Hunting Lab
    • Computer Forensics Lab
    • Security Capstone Lab

    • Project Work II - Duration of 6 months

    • Information And Coding Theory 
    • Quantum Computing
    • Post Quantum Cryptography
    • Active Defense Using Deception 
    • Security Modeling And Analysis 
    • Computer Graphics And Visualization 
    • Artificial Intelligence
    • Social Network Analysis
    • Applied Graph Theory
    • Multimedia Security 
    • Identity And Access Management
    • Essentials Of Cyber Physical System Security
    • Data Compression 
    • Big Data And Modern Databases 
    • Network Forensics
    • Biometric Security
    • Game Theory
    • Ethics And Cyber Law
    • Digital Image Processing
    • Natural Language Processing
    • Information Retrieval And Filtering
    • Reinforcement Learning 
    • Deep Learning
    • Randomized Algorithms
    • German
    • Virtual And Augmented Reality
    • Computational Foundation For Robotics
    • Stochastic Models
    • Principles Of Management
    • Environmental Science And Green Computing
    • Computational Finance
    • Entrepreneurship
    • Statistical Learning
    • Mathematical Modelling
    • Adversarial Machine Learning
    • Network Science
    • Software Patterns

    An excellent academic record in Higher Secondary examination of the (10+2) curriculum prescribed by the appropriate authority of the Government of Tamil Nadu or any other exam recognised as equivalent with Mathematics and Physics as two of the subjects of study.

    Shortlisted candidates with an excellent academic record in Higher Secondary examination (based on Math and Physics HSC marks) will be called for counselling in college campus to identify the spark and the commitment of the applicant to study 5 year integrated Masters programme (M.Sc SS/TCS/DS/CS) at PSG College of Technology.

    The schedule for counselling of the shortlisted candidates will be intimated through their registered email.

    However, call for counselling does not confer any right of admission.

    • PSG Tech

      Veeramani Rajarajan

      Senior Software Engineer, Apple Inc., Seattle
      MSc Theoretical Computer Science (2013-2018)

      M.Sc. Theoretical Computer Science programme at PSG Tech is one of the rarest programme in India which exposes a student to fields in computer science that are active, with exciting breakthroughs and intriguing challenges. The programme is rigorous and courses are taught by faculty who take pride in their teaching and care about their students. The department continues to pursue research in many areas of theory and runs joint activities with the country's leading R&D institutions. This presence of active research groups ensures the students that almost every day there is an exciting topic to learn.

    • PSG Tech

      Kavya Parthiban

      Analytics & Strategy, Adidas
      MBA/PhD Fellow, University of Massachusetts, USA
      MSc Data Science (2015-2020)

      As an alumnus of the MSc Data Science program, I can confidently say that the AMCS department is the reason for who and where I am today. The program has played a significant role in shaping my career and helping me discover the future of the industry. I have witnessed how the transformative the experience was for all my classmates, we gained the skills, knowledge, and confidence to succeed in the industry and pursue our passions. To anyone with second thoughts and doubts about the program, I’d urge you to take the leap as you are in the best hands and will have the time of your life! I am excited to see what the new cohort will bring to the department!

    • PSG Tech

      Kamaraj Gandhirajan

      Senior Software Engineer, Microsoft
      M.Sc SE (2008 - 2013)

      M.Sc. Software Engineering is a unique program that has helped me build both technical expertise and personal growth. The frequently updated syllabus that aligns with the latest technologies and trends, practical exposure through mini-projects & internships and dedicated faculty members make this course exceptional. The program’s two six-month internships offer a hands-on experience in the industry and give a head start to a long and prosperous career.

    • PSG Tech

      Gopinath Sundaram

      Senior Manager, Buyer Experience, eBay
      M.Sc SE (2006-2011)

      MSc Software Engineering has been one of the best courses since its inception, helping to develop world-class talent who have become entrepreneurs, advisors, and engineers in numerous firms around the globe. The fundamentals taught in the programme have been instrumental in my career to this point. The best part about the programme and department is that they not only focus on academic classes but also help to develop well-rounded individuals who are ready to face the world. The two-semester internship is unique to this programme and helps prepare students, establish connections, and gain exposure while studying. The set of courses, whose curriculum is regularly updated to meet industrial standards, has been shaping the future of multiple companies through the talents it has created.

    • PSG Tech

      Neha Sathish

      Data Analytics Consultant, Fujitsu
      M.Sc Data Science (2017-2022)

      The MSc Data Science program is a perfect blend of theory and practice on everything that is "Data". The programme contents are on par with the industry and are updated regularly. The labs are always open to those who are willing to learn and level up. The best part of the programme is the internship which gives a clear competitive edge over other departments.

    • PSG Tech

      Balakrishnan Ananthanarayanan

      Senior Technologist, Smart Manufacturing Analytics R & D, Intel Technology India Pvt. Ltd.
      M.Sc SE (1999-2004)

      We are at an AI inflection point, a technical renaissance of sorts with advances like large language models. All through my 19 year old career, I have only seen leaps in technology leading to new skills, old jobs giving way to new ones and the human creativity-Smarter Machines continuum growing stronger, healthier and more beneficial to humanity by the day. Strong foundations on the fundamentals and a right balance of theory and practice back in college helps you thrive in such demanding environments. With knowledgable faculty, rich learning resources and conducive learning environment, the programmes from the Department of AMCS prepare you right for that. Thanks to the solid basics that I got from the MSc Software Systems programme, I have been able to guide several doctoral/post-doctoral researchers from foreign universities as part of my work right through my career.

    • PSG Tech

      Vinodh NV

      Senior Engineer at CISCO
      M.Sc SE (2004-2009)

      M.Sc. (Software Systems) is an unique programme which perfectly molds a fresh student into a promising software engineer. The constantly revised and upgraded programme provides the students with a very good theory knowledge and the skill to apply the concepts learnt by completing the lab assignments and mini projects(packages) every semester. The two six month internships gives the students a very good industry experience and provides an edge over other programme students in attaining hundred percent placements. The programme also provides an opportunity for the students to develop their soft skills by conducting seminars, workshops and organising technical symposiums. The biggest strength of the programme includes the dedicated faculties, lab facilities and a very strong alumni support.

    • PSG Tech

      Shruthi NK

      Technical Program Manager, Uber
      M.Sc SS (2002-2007)

      MSc Software Engineering was one of the most rewarding phase of my life. The program was well-structured, the faculty members were supportive, and the curriculum was very relevant to the software industry. The hands-on experience gained through projects and internships helped me develop practical skills and the alumni network provides valuable connections and opportunities for professional growth. Overall, I highly recommend the MSc Software Engineering program to anyone seeking a comprehensive and well-rounded education in software engineering. The program provides an excellent foundation for a successful career in this exciting and constantly evolving field.

    • PSG Tech

      Rajaram Srinivasan

      Senior Product Manager, Palo Alto Networks
      M.Sc SE (2007-2012)

      The MSc. Programmes are among the best-designed programs in computer science. The rigorous curriculum focuses on the foundations of mathematics and computer science with hands-on labs and projects. Each of the students in the small batch is handpicked by senior members of the staff who ensure the class is well-rounded. This makes the cohort and peer learning experience very special. Over the last two decades, these programs have created some immensely successful world-class engineers, scientists, and entrepreneurs.

    • PSG Tech

      Kripa Makhija

      Data Scientist, Groupon,Ireland
      M.Sc TCS (2009-2014)

      The format and design of this programme has given me a concrete and dependable foundation with fundamentals of logic and statistics and applying both with a research oriented mindset. The courses covered as a part of the programme goes into the depths of computing and statistics which is what makes it truly one of a kind. I got to do the 2 internships in Data analytics , one research based and one industry based. The Professors have been great with empowering students to experiment and try innovative methods of execution. This programme has been great for my confidence and the strong alumni network continues helping each other out.

    • PSG Tech

      Chockalingam Kumar

      Software Engineer II, Walmart Global Tech India
      M.Sc TCS (2017-2022)

      TCS has a strong mathematical and computer science foundation which helped me in improving problem solving skills. We had hands-on experience in the theoretical courses which we were very useful. Advantage of this course is the 7th semester internship that helped me identify my area of strength as a Software Engineer and purse my carrer. Choosing this programme will definitely be a turning point in my growth.

    • PSG Tech

      Shriram Subramanian Venkatesh

      Data Engineer, Optum,
      M.Sc Data Science (2015-2020)

      M.sc Data Science degree was a challenging but rewarding journey that provided me with an array of valuable skills and knowledge. The faculty members were highly knowledgeable and excellent in communicating complex ideas effectively.The 6 months internship which we did as part of the curriculum helped us to gain practical experience in the industry.

    • PSG Tech

      Akalya Asokan

      Higher Studies, Cornell University
      M.Sc Software Systems (2016-2021)

      I had a great experience with the programme! The professors were dedicated and extremely helpful. I particularly loved the coursework. I thought it was exceptional, with regular and relevant updates. There is a good balance between theoretical and practical courses too, which allowed me to gain a comprehensive understanding of the subject matter and apply it effectively in real-world situations. Overall, I would highly recommend this programme to anyone looking to deepen their knowledge in Computer Science.

    • PSG Tech

      Manoj Kumar M

      Intern at Arcesium
      M.Sc TCS (2018-2023)

      "Stay ahead and be relevant" This motto is a perfect fit for the department of AMCS offered by PSG Tech. Right from the diligently crafted curriculum which satisfies both the requirements in the industry to providing a strong foundation in CS and Math concepts give the budding researchers a push in the right direction. The busiest days are always during when the students get together to organise large scale events which is not only encouraged but also helped by the department. One of the biggest strong points is the strongly knit alumni connection that is formed by the strong nurturing of senior-junior bonding which goes beyond friendship and gives a very real helping hand for each year's graduates. All-in-all, it's not just one thing. It's a harmony of strong structure and stronger people coming together for a passion project that will, as the motto says, be relevant for decades to come.

    • PSG Tech

      Haja Mohideen J

      Myntra Senior Software Engineer
      M.Sc TCS (2015-2020)

      In my view, the Applied Maths and Computational Sciences department offers some of the best programmes in Tamil Nadu that are always updated with the latest industry needs based on continuous feedback from their top-notch alumni network. TCS has an abstract design and strong fundamentals that allow students to choose their specialization path and focus on their interests. Despite including research elements, it also prepares students to compete with top candidates from renowned institutions such as IITs or NITs, not only in research but also in industries. The programme has helped me personally to pursue my career goal of becoming a software architect. Joining TCS turned out to be the best decision of my life. Lastly, all four programme benefit from the best alumni network in the college and top-class faculties, which are key factors for the success of these integrated programmes at PSG Tech.

    • \ PSG Tech

      Prakash Baburaj

      Analytics Consultant, KPMG India
      M.Sc Data Science (2017-2022)

      I recently completed the MSc Data Science programme, and I must say it was one of the most exigent but rewarding experiences of my life. The programme offered a rigorous curriculum that equipped me with the necessary skills and knowledge to excel in the field. The faculty members were extremely supportive and always available to assist with any queries. The package component of the programmes was invaluable and provided room to build something innovative.

    • PSG Tech

      Krithika Surianarayanarayanan

      Engineering Manager - Github
      M.Sc SE (2000-2005)

      As an alumni of PSG Tech's 5 year integrated software engineering programme, I can attest to its effectiveness in preparing students for the industry. The programme is constantly updated to ensure its relevance in the ever-changing tech landscape. One of the programme's key strengths is its emphasis on practical experience. Students are put through two 6-month full internships, which gives them a taste of what it's like to work in a real-world software engineering setting. The faculty at PSG Tech are knowledgeable and supportive, and the lab facilities are top-notch. This creates a conducive learning environment that encourages students to explore new ideas and collaborate with one another. Another impressive aspect of the programme is that even during periods of recession, students are able to secure placements thanks to the support and guidance of the placement cell and the rich network of contacts they have. Overall, I highly recommend the 5 year integrated software engineering programme at PSG Tech for anyone looking to pursue a career in software engineering. It's an excellent investment in your future that will pay dividends for years to come.

    • PSG Tech

      Swetha Vijaya Raghavan

      Software Engineer II, Dell Technologies, Santa Clara, United States
      M.Sc TCS (2010-2015)

      Theoretical Computer Science is an excellent combination of mathematics and computer science. Our department has come up with the finest coursework. The courses and the way it is structured defines its Uniqueness. The Teachers are highly knowledgeable in this domain and can really explain well in a way that most of the students can understand. Having internships as part of the course curriculum enables us to work with the domain experts and learn from them. The lab sessions could be used more productively. More tough assignment questions would be good.

    • PSG Tech

      Harini Seshadri

      Morgan Stanley as Executive Director.
      M.Sc SE (2000-2005)

      This programme and college has truly transformed me from being a timid and introverted person to be more confident and outspoken. The uniquely curated curriculum covers all major topics and prepares one for a successful corporate career leading to leadership positions. Especially, the two 6-month internship opportunities help bridge the gap between academics and industry and makes one realize the value of the vast curriculum.

    • PSG Tech

      Parkavi S

      SDE Intern, Amazon development centre
      M.Sc Data Science (2018-2023)

      From a high schooler without any prior experience to one who has a solid grasp of data science, Students receive comprehensive teaching across the entirety of the data life cycle. Thanks to the way the data science programme is structured. The faculty team is highly skilled and informed in the field of data sciences. In my opinion, choosing an MSc in Data Science would be the wisest choice if you're looking for a career in technology.

    • PSG Tech

      Aswin Karthik P

      Data Science Manager, AI Global Hub, Accenture
      M.Sc TCS (2011-2016)

      Theoretical Computer Science is a perfect amalgamation of mathematical foundation and practical aspects of computer science which helps the students to understand the latest technologies in this ever-evolving industry and contribute to cutting-edge innovations for business and research. Enthusiastic faculty and vibrant senior network keep the curriculum relevant and up to date. Two 6-months internships in top-notch industries and research institutes feed two birds with one scone by enabling students to experiment and choose their domain and the industries to bridge the skill gap between business and new hires.

    • PSG Tech

      Pavithra Elumalai

      PhD Student, University of Göttingen, University of Tübingen and IMPRS-IS
      M.Sc TCS (2015-2020)

      My time in AMCS, PSG Tech is always close to my heart. You can’t help but wonder why pick any course when anything you want to learn can be learnt on the internet. I would pick my course over and over again because it is where I learnt learnability. I learnt the importance of contributions while seeking knowledge. The faculty fine tuned my research interests and steered me in the right direction. All someone needs to make the best of this programme is an open mind!

    • PSG Tech

      Ramanathan P

      Vice President Goldman Sachs
      M.Sc SE (2012-2017)

      The Msc Software Engineering programme at PSG tech greatly helped me to lay a strong foundation in computer science. The key highlights of the course which help to stand out from others are the continuous adaption of curriculum catering to industry trend changes and 6-month internship providing unique early exposure to the industry. On top of all, the culture of pairing with cohorts for mini projects, organizing events, and developing a strong alumni network aids growth in all aspects and created memories that I will cherish forever.

    • PSG Tech

      Nehal Muthukumar

      Student, University of Southern California
      M.Sc Data Science (2016-2021)

      If you're intrigued by buzzwords like Data Science and AI and are eager to learn more about cutting-edge technologies look no further than the M.Sc. Data Science (Integrated) program at PSG Tech. This course will help you unleash your inner enthusiasm and transform into a skilled professional in the field. Beyond just theoretical concepts, the program provides ample opportunities for hands-on learning through lab sessions and full-scale projects. Additionally, the program offers a unique six-month internship, enabling students to pursue research or industry-based work and making it an ideal choice for any aspiring data science enthusiast. To top it off, the program boasts an impeccable alumni network. All in all, this course offers an unparalleled learning experience that is difficult to find elsewhere.

    • PSG Tech

      Raagul RN

      Data and Analytics Consultant, Thorogood Associates, Bangalore.
      M.Sc SS (2018-2023)

      I got Placed in Thorogood Associates Bangalore, PSG College of Technology has provided me with the necessary knowledge and skills to succeed in my field. PSG College of Technology is known for its quality education and has a reputation for producing well-rounded graduates in various fields, including software systems. The college has a strong faculty with experienced professors who provide students with the latest industry insights and hands-on experience. Additionally, the college has a state-of-the-art infrastructure, including modern classrooms, labs, and libraries, which contribute to a comfortable learning environment. Furthermore, PSG College of Technology encourages students to participate in various co-curricular activities such as seminars, workshops, and industrial visits, which help students gain practical knowledge and real-world experience. The college also has a dedicated placement cell that provides assistance to students in securing placements in top-tier companies.

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      Nithiya Shri

      Intern at Schlumberger, 3rd yr of M.Sc Cyber Security (2020-2025)

      Applied Mathematics and Computational Sciences department is a place where one can find an amalgamation of learning. They always provide me with the assistance i required for my overall development and to improve my technical knowledge. The department has nourished me and shaped my career. As the very first batch of MSc Cyber Security, I am very grateful to the department for providing us the best placement opportunity.

    • PSG Tech

      Anantha Vijay M

      Intern at Visteon, 3rd yr of M.Sc Cyber Security (2020-2025)

      The MSc Integrated Cyber Security program has exceeded my expectations, with a well-designed curriculum covering essential aspects such as network security, cryptography, and ethical hacking, and the support system provided by the department is outstanding. Professors are highly knowledgeable, and the senior network of students is an excellent resource. We have had ample opportunities to apply theoretical knowledge in practical scenarios through competitions, hackathons, and workshops. I am grateful to be a part of the first batch and highly recommend this program to anyone passionate about cybersecurity and looking to build a successful career in the field.

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