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BTech Computer Science and Engineering

A high-impact BTech CSE degree to accelerate your career

NIIT University’s (NU) BTech Computer Science and Engineering (CSE) programme aims to create a pool of ‘tech talent’ that will lead the way in finding problems and solving them when they either move into the industry or build their own start-ups. NU’s purpose is to create an environment that provokes thinking, and enables free-flowing, flexible, limitless and holistic learning for students. NU is on a mission to make higher education industry-linked, technology-based, research-driven and seamless.

Our B Tech CSE course incorporates the latest digital transformation technologies that are expected to change the future of work. According to a McKinsey report, digital technologies could contribute $550 billion to $1 trillion of economic impact per year in India by the year 2025. Reflecting the same trend, NASSCOM lists Big Data Analytics, Cloud & Cybersecurity Services, IoT, Artificial Intelligence and many other Digital Technologies as the skills of the future. Read more

These deep insights from the industry have led NU to infuse the CSE curriculum with relevant digital technologies that will enable our students (NUtons) to add immense value to the organisations that hire them.
On being asked, “What sets NU students apart?”, a significant percentage of our industry partners said, “NUtons are problem solvers and among our best hires. – The NU Brand Survey, 2021

BTech CSE – Distinguishing Features

NU’s focus has always been student centricity. We design our courses and programmes with the student’s future and aspirations in mind. Our flagship BTech CSE programme is a high-impact course that truly empowers our students and helps to accelerate their careers. Here’s how.
NU’s Unique Admission Process goes beyond marks and grades. It enables students and their parents to identify the best course for their academic journey based on their strengths and interest.
Consistent with our core principle of industry-linkage, the hallmark of the NU BTech CSE programme is its deep rootedness into industry. Industry professionals work as mentors along with NU faculty giving our students the dual advantage of academic rigour and industry relevance.

An immersive, live R&D project in the sixth semester is a comprehensive component of NIIT’s BTech CSE programme and is taken up under faculty mentors. Selected computer science and engineering students get the opportunity to work in collaboration with industry partners and gain immensely from this opportunity.

The eighth semester in the final year involves a compulsory six-month industry practice. The industry project can be completed either at the industry site or in the campus under joint supervision of industry and faculty mentors. At the end of the programme, successful candidates may even be hired by the industry partner. IBM has been a steadfast industry practice partner right from the inception of the university.

Amazon, IBM, PwC, MakeMyTrip, Cognizant, Freecharge, SAP, Genpact, Swiggy, Morgan Stanley, Zomato, Technovia, etc., are other companies where our BTech CSE students get placed for their Industry Practice and projects.
Acknowledging the huge demands of Data Science professionals in the industry today, the programme in Data Science has been designed to create trained computer science graduates to fulfill the requirements of the industry. The programme content is co-designed with an industry partner. Students are shortlisted by the industry partner at the beginning of sixth semester and go through a set of special electives during sixth and seventh semesters, offered in collaboration with the industry partner.

We are very impressed with both the skills and attitude of NU graduates who have gone through the Analytics and Cognitive (Data Science) programme. They demonstrate terrific aptitude and attitude towards learning. We need more such graduates and they are performing significantly above the mass hired engineering graduates we hire from the top engineering institutions. The curriculum for the programme is jointly designed by IBM (Cognitive group) and NU faculty and reflects the dynamic and changing requirements in the market place.” – Vijay Muralidharan, Data Science Leader, Cognitive & Advance Analytics CIC, IBM.
The curriculum is embedded with Full Stack Programming, Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence and Internet of Things (IOT) to equip students with advanced and futuristic technology skills.
BTech Computer Science & Engineering CSE at NU is flexible enough to provide students — interested in higher studies and careers in industrial R&D — with opportunities to participate in research at the undergraduate level itself. Students pursuing BTech CSE have the opportunity to participate in R&D projects in the sixth semester as per the curriculum. Those interested can (optionally) also undertake projects under faculty guidance during the summer breaks. During the eighth semester of the BTech CSE programmes, Industry Practice can be taken up in an R&D organisation by students with a research bent of mind. Several of our undergraduate students co-author and present research papers at international conferences.
Faculty in the BTech CSE area at NU are from well-known universities like IIT-ISM Dhanbad; Missouri University of Science and Technology, Missouri, USA; Ohio University, Ohio, USA, and University of Minnesota, Minneapolis, USA. Our faculty comes with rich prior work experience in teaching, research, industry and the government. Their research has been published in several international journals and conference proceedings.
NU’s project-based learning methodology allows students to customise the BTech Computer Science & Engineering curriculum to suit the teaching-learning style of the teacher and the student, which means you can customise as much as 31% of your course curriculum.
A winning combination of the ‘flipped classroom’ model along with a unique mastery-learning platform is integrated into the project-based learning approach at NU. This approach helps students to develop independent learning skills and builds a deeper understanding of the CSE subjects.
Btech computer science and engineering

BTech CSE – Placements

BTech CSE students at NU are a sought-after lot in the industry. Their higher-order thinking abilities, problem-solving skills combined with their entrepreneurial spirit give them a sharp competitive edge. Since inception, NU’s BTech programmes have retained the 100% placements track record*. Even during the pandemic period, the record has remained intact.


placements* since inception


Lakh per Annum Highest CTC

Placement partners

Students pursuing this stream find rewarding professional opportunities with reputed organisations.

BTech CSE – Industry Projects

Industry projects at NU are a thrilling experience for students. It gives them the opportunity to explore new problems and find solutions. IBM has been an industry practice partner for NU for more than a decade. This strong partnership that started from the time when the university was founded, continues to flourish and we expect it to reach newer heights in the future. NU has developed many other such strong industry relationships giving NUtons the limitless opportunity to look for new problems and solve them while they are still studying at the university. Such real-life problem solving skills surely holds them in good stead when they step out to the real world.

Company: IBM

Domain: Threat Intelligence

Project: Working on multiple sources and consolidating threat information for specific case studies

Company: IBM

Domain: Identity Governance and Intelligence

Project: Managing identities and entitlements of users in an organisation

Company: Genpact

Domain: Python

Project: Forecasting new products for the market using different algorithms, hierarchical time series, etc.

Company: Swiggy

Domain: Helms

Project: Improving vehicle tracking (GPS + IMU), DE state detection

Company: Tenovia

Domain: AWS Data Lake

Project: Streamlining multiple data inputs from APIs to the pipeline and enabling dashboards for analytics on the cloud

Company: Thoucentric

Domain: Full-stack Development

Project: Showcasing projects and tools from over the years to potential clients

Company: Zscaler

Domain: Cloud Security Posture Management

Project: Alerting, reporting, managing views

Company: Morgan Stanley

Domain: Introducing Redis Cache for a regulatory calculation process

Project: Building a proof of concept to test the efficiency and improvement provided by the introduction of Redis Caching to a calculation application that runs on the Spark Architecture

Company: Ahoy System

Domain: Fire control panel with wire smoke Sensor and Analog Devices.

Project: Creating a fire control panel using B401 plug-in detector base and low-power analog devices

Company: Zomato

Domain: MLFlow models version control on GitHub

Project: Creating a custom flow that enables Zomato to keep track of deployed, as well as previous models with version controlling of inference code

Startups @NU

The environment that NU provides is a perfect breeding ground for students to think like entrepreneurs and build their own startups. The growing list of startups from NU bears testimony to the university’s purpose of provoking original thinking and creating problem solvers out of students. Here’s a list of startups built by our BTech CSE students.

Student stories

Atif Inayat Khan
“Meet the Drone Man of NU”

Atif Inayat Khan BTech CSE (Computer Science & Engineering), Class of 2016, turned his undergraduate research project on the ‘Application...

Student achievements

Mayuri Mane and Trisha Sharma, 4th-year BTech CSE students secure first position in AABtonics, an international GIS competition organised by AABSyS IT.

The project started out as a research and development project (R&D project) in the sixth semester of BTech Computer Science and Engineering at NIIT University (NU) with the mentorship of Dr Thota Sivasankar. The aim of the project at that stage was to simply build a predictive model for crop classification using Sentinel-2A data. After the completion of the R&D project, the curiosity of the topic and hunger for innovation motivated the team to search for the most suitable machine learning model and optimise it to the best level of accuracy.

The team has two members with a mentor. The first member of the project is Mayuri Mane, a BTech CSE student in the 4th year of her engineering. She is specialised in data science and has been working as the implementer of the project since January 2021. She performed the analytic calculations and numerical simulations. The second member of the project is Trisha Sharma, a BTech CSE student, also in her 4th year of engineering and specialising in data science, who is the shaper of the project. She has been working on the technicals as well as sorting useful and arbitrary details to come up with a big-picture perspective.
Hillytech Hackathon

Under the aegis of Startup India and MSME, Hillytech Starter runs a unique online hackathon. Students are expected to come up with innovative solutions to the industrial and societal problems faced by people living in hilly areas. The competition covers different themes such as science, technology, networking & business, electronics and even the pandemic.

One hundred and twenty teams from across the country participated in Hillytech Hackathon 2020. The criteria for evaluation included the novelty of the idea, feasibility of the implementation, and whether it will sustain in the current market. Prizes ranged from internships to job opportunities, apart from cool gadgets and gift hampers. NU’s Team Bugsmashers secured the first position with their unique ‘Outdoor plant monitoring and tracking system’ that monitored weather, automated irrigation, measured soil quality, organised plant care and sent reminders about fertilisers and pest control.

NASA Space Apps Challenge 2020 was organised by NASA in collaboration with Hacker’s Tribe Foundation. The event saw the participation of over 26,000 people from nearly 150 countries. ‘The Bug Slayers’, who represented NU, received the Global Award Nominee in the Phase 1 Universal Event.

The team proposed a specialised algorithm that suggests sleeping slots and the number of sleeping cycles for a user to work at maximum efficiency. This will help the user rest properly and balance their busy schedules. Further, depending on the user’s entered activity status and programme, the algorithm would also provide a daily customised calorie requirement and proposed carbohydrate, protein and fat intake.

Hult Prize OnCampus Event
The Hult Prize Foundation is a global learning platform that enables new generations to deliver social change through education and entrepreneurship. A partnership between Hult International Business School and the United Nations Foundation, the Hult Prize is presented by Hult International Business School.

An international idea-pitching competition, the Hult Prize competition is a year-long event with multiple phases – the campus round, regionals, an accelerator programme and the final round. The global programme provides an opportunity for students to suggest startup ideas which they believe can bring about social or global change. The theme for the 2020 competition was ‘Food for Good’.

The OnCampus event was organised in NU on 5 December 2020 by a team of NUtons, led by campus director Aman Gupta. Forty students in ten teams participated in the event. NU’s Team BioPure was the winner, going on to represent NU in the Regional Round, held in various destinations across the globe.

BioPure is a new-gen packaging start up that aims to revolutionise food packaging for Indian farmers. A vast quantity of food is wasted every year due to moisture, rodents and the fragility of packaging.

BioPure’s winning idea was to produce biopolymer food storage packaging based on nanotechnology. The durable, affordable and reusable packaging ensures effective food packaging and storage, reducing overall wastage. At BioPure, all packaging is sourced responsibly, and is designed to be effective and safe throughout its life cycle, thus making it a valuable resource for subsequent generations.
NUs Anushree Krishania
i4C Blogathon, a platform for upcoming writers to showcase their technical writing skills, is jointly created by The Inter Institutional Inclusive Innovations Center (i4C) and Smart India Hackathon. The competition involves writing a technical blog article on one of three suggested themes. It is open to undergraduate, postgraduate and doctoral students.

i4C2020 received over 350 entries from all over the country. Anushree’s article, in the Student Innovation category, was based on health care innovation. It secured her the first runner up position in her category.

Please read her article here
Smart India Hackathon 2019
Smart India Hackathon, a nationwide initiative, provides a platform for students to solve some of the most pressing issues mankind faces in their daily lives. NU’s SpaghettiCoders worked on ‘Enhancing the online shopping experience by supporting it with augmented reality’, a problem posed by Pepperfry at the event. They won the first runner-up position at an event that saw the best minds competing in a grand finale.
NUtons – Uddalak Bhaduri, Sarthak Tripathi and Shreyas Sanghvi won second prize at ‘Junction 2018’, Europe’s largest hackathon held at Aalto University, Finland. The event saw the attendance of 740 students from 105 nationalities. The team received €1000 Euros and a six-month funding for their idea at Finland if they decided to continue. They also worked at Espoo City Challenge under the Office of Mayor, Espoo City, Finland.
Hitesh Mittal (BTech CSE), along with ECE Faculty Dr Nitin Bhatia, submitted their paper titled ‘Broadcasting a laser using Bragg grating for free-space optical communication’ to PHOTONICS 2018, the International Conference on Fiber Optics and Photonics.

Their submission was accepted for Poster Presentation at the conference. PHOTONICS 2018 was held at the Indian Institute of Technology, New Delhi. In their paper, the authors demonstrated a technique for broadcasting a laser source in free space using a Bragg grating. The multiple diffraction orders are used as multiple receiving points. They also show that cascaded gratings would increase the number of receiver points. This method is easy to implement, low-cost and scalable to a large number of receiver points.
NUtons Sarthak Tripathi

HackHarvard is a 36-hour hackathon hosted by students from Harvard University. Shreyas and Sarthak’s project ‘No-BrainR’ secured first place in the ‘Best IoT Hack Using a Qualcomm device’ category. The prizes were awarded by MLH (Major League Hacking).

You can read more about it here and here

NUton rishi pisipati team
Rishi Pisipati, now pursuing a master’s degree at Carnegie Mellon University, participated in the HACK THIS. HELP KIDS Hackathon, sponsored by the Children’s Hospital of Pittsburgh Foundation. His team, ‘Thirsty Scholars’, won the top prize of $5,000 for their innovative solution for storing and delivering breast milk. Using a holistic approach to software, hardware and processes, Thirsty Scholars designed a hardware and software solution that ensured infants would receive the correct milk at the right time and at the right temperature. Pisipati had participated in hackathons when he was an undergraduate student at NU.

Meet our faculty

Prof Debashis Sengupta
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Prof Debashis Sengupta

Professor and Area Director

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Prof Ratna Sanyal

Professor, Computer Science & Engineering & Dean - Research

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Prof Sudip Sanyal

Professor and Dean, Faculty of Engineering and Technology

Prof Eswaran Narasimhan
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Prof Eswaran Narasimhan

Professor and Area Director

dr utkarsh raj
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Dr Utkarsh Raj

Assistant Professor and Area Director

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Dr Ayan Nandy

Assistant Professor

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Dr Deepika Prakash

Assistant Professor

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Dr Kumar Nitesh

Assistant Professor

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Dr Shweta R Malwe

Assistant Professor

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Mr Supratik Banerjee

Assistant Professor

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Mr Surendar Singh

Assistant Professor

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Mr Vivek Kumar Anand

Assistant Professor

Dr Jayraj Singh
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Dr Jayraj Singh

Assistant Professor

B Tech Computer Science and Engineering Course Outline

NU’s BTech in Computer Science & Engineering course emphasises on digital transformation technologies. The programme focuses on building a solid foundation in mathematical and algorithmic concepts. It has a robust industry linkage to make students industry-ready. A wide range of electives and projects offers students the flexibility to pursue their interests.
A student must complete 175-178 credits in four academic years, constituting eight semesters. The first seven semesters are organised on the campus, while the last semester is conducted off-campus at a particular industry location, and termed ‘Industry Practice’.
A student cannot take more than six academic years to complete the programme. After the programme, a student is awarded a BTech degree subject to complying with the stipulated conditions for minimum academic performance.
The categories in the programme are:
  • Programme core – humanities, social sciences and management – to acquire interdisciplinary knowledge
  • Professional core – To gain proficiency in a particular domain
  • Mathematics and Basic Sciences – to develop analytical ability
  • Professional electives – To specialise in an industry-specific domain
  • R&D project – To inculcate a research-focused bent of mind
  • Open electives – To identify professional interests
  • Industry Practice – To build seamlessness with the world of work through Industry-work or industry-oriented research
  • Minor programme (optional certification) – Starting the fourth semester, students must complete three to five additional courses with credits ranging from 12-15 within the duration of the degree programme.
  • Fundamentals of Computer Programming
  • Data Structures
  • Computer Networks
  • Object-oriented Programming
  • Design and Analysis of Algorithms
  • Computer Architecture and Organisation
  • Discrete Mathematics
  • Database Management Systems
  • Operating Systems
  • Software Engineering
  • Theory of Computation
  • Introduction to Communication Systems
  • Multi-device Programming
  • Advanced Java Programming
  • Artificial Intelligence
  • Artificial Neural Network
  • Introduction to Soft Computing
  • Introduction to Internet of Things
  • Statistical Modeling for Data Science
  • Advanced Communication Networks
  • High-Performance Computing
  • Introduction to Linear and Non-Linear Optimisation
  • Wireless Sensor Networks and Applications
  • Computer Vision
  • Mobile Platform Programming
  • Web Intelligence and Algorithms
  • Machine Learning
  • Computational Geometry and Applications
  • Cyber Security

Specialisation in B Tech CSE

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Data Science
Bigdata engineering
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Big Data Engineering
Cloud Computing
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Cyber Security
Artificial Intelligence
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Artificial Intelligence
Cloud Computing
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Cloud Computing

B Tech CSE Course Syllabus & Subjects

Course category Credits
CSE core courses 48
CSE electives 20
Industry Practice 20
R&D Project 4
Course split
Lectures 61%
Tutorials 4%
Practicals 35%
Total credits 178
# Course code Course L T P C
1 MAT 112 Calculus 3 1 0 4
2 EL 111 Fundamentals of Electronics 3 1 0 4
Science I 3 0 2 4
3 TA 111 Fundamentals of Computer Programming 2 0 4 4
4 TA 202 Engineering Graphics/Workshop Practice 2 0 2 3
5 TA 212 1 0 4 3
6 TA 102 Communication Skills/HSSM-I 2 0 2 3
3 0 0 3
7 NU 111 Community Connect 0 0 2 1
Total semester L-T-P-C 15 2 10 22
# Course code Course L T P C
1 MAT 101 Algebra and Differential Equations 3 1 0 4
Science II 3 0 2 4
2 ENV 301 Environmental Science 3 0 0 3
3 CS 102 Data Structures 3 0 3 4
4 TA 202 Engineering Graphics/Workshop Practice 2 0 2 3
5 TA 212 1 0 4 3
6 TA 102 Communication Skills/HSSM-I 2 0 2 3
7 3 0 0 3
8 NU 112 Community Connect 0 0 2 1
Total semester L-T-P-C 16 1 11 21
# Course code Course L T P C
1 MAT 221 Probability and Random Process 3 1 0 4
2 EL 101 Digital Logic and Circuit 3 0 3 4
3 CS 232 Discrete Maths 3 1 0 4
4 CS 251 Object-oriented Programming 2 0 4 4
5 CS 241 Introduction to Communications Systems 3 0 2 4
HSSM-II 3 0 0 3
6 NU 211 Community Connect 0 0 2 1
Total semester L-T-P-C 17 2 9 23
# Course code Course L T P C
1 CS 201 Design and Analysis of Algorithms 3 0 3 4
2 CS 302 Theory of Computation 3 1 0 4
3 CS 122 Computer Architecture and Organisation 3 0 2 4
4 CS 211 Operating Systems 3 0 2 4
5 CS 231 Database Management Systems 3 0 2 4
HSSM-III 3 0 0 3
6 NU 212 Community Connect 0 0 2 1
Total semester L-T-P-C 18 1 9 23
# Course code Course L T P C
1 CS 261 Computer Networks 3 0 2 4
2 CS 301 Software Engineering 3 0 2 4
Open Elective – I 3 0 2 4
Advanced Java Programming 3 0 2 4
3 CS 382 Programming Tools 1 0 6 4
HSSM-IV 3 0 0 3
4 NU 311 Community Connect 0 0 2 1
Total semester L-T-P-C 16 0 16 23
# Course code Course L T P C
1 Multi-Device Programming 3 0 2 4
Capstone Project — I 1 0 6 4
Professional Elective – I 3 0 2 4
Professional Elective – II 3 0 2 4
2 NU 302 R&D Project 1 0 6 4
HSSM-V 3 0 0 3
3 NU 312 Community connect 0 0 2 1
Total semester L-T-P-C 14 1 18 23
# Course code Course L T P C
1 Professional Elective – III 3 0 2 4
Professional Elective – IV 3 0 2 4
Professional Elective – V 3 0 2 4
Open Elective – II 3 0 2 4
Open Elective – III 3 0 2 4
Capstone Project — II 1 0 6 4
2 NU 411 Community Connect 0 0 2 1
Total semester L-T-P-C 18 0 10 24
# Course code Course L T P C
1 NU 402 Industry Practice/Project

Programme outcomes

NU’s undergraduate programmes in Engineering and Management are designed to provide thorough grounding in the respective disciplines, offer a course of work that prepares them for either a professional career or advanced degrees.
NU expects that graduates of the undergraduate Engineering programmes will demonstrate the following programme outcomes as defined by NBA (National Board of Accreditation).


Engineering knowledge

Apply the knowledge of Mathematics, Science, fundamentals of Engineering and an engineering specialisation to the solution of complex engineering problems.


Problem analysis

Identify, formulate, review research literature, and analyse complex engineering problems to reach substantiated conclusions using first principles of Mathematics, Natural Sciences, and Engineering Sciences.


Design/Develop solutions

Design solutions for complex engineering problems and system components or processes that meet specified needs with appropriate consideration for public health and safety, and cognisant of cultural, societal, and environmental considerations.


Conduct investigations of complex problems

Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesise information to provide valid conclusions.


Modern tool usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.


The engineer and society

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


Environment and sustainability

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



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


Individual and teamwork

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.



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


Project management and finance

Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and/or leader in a team, to manage projects in multidisciplinary environments.


Life-long learning

Recognise the need for, and have the preparation and ability to, engage in independent and life-long learning in the broadest context of technological change.

Btech computer science and engineering

Programme specific outcomes for Computer Engineering

Acquire sound knowledge of fundamentals of Telecom Technology, Computer Science, Artificial Intelligence, Machine Learning, Data Science and Data Structures, Cyber-security, Cloud and Edge Computing.
Acquire sound knowledge and be able to implement and validate hardware and specialised software applicable to LAN, WAN and ad-hoc networks.
Apply the knowledge in designing and developing IoT-based Systems, Broadband and Wireless Communication Architecture.

Acquire technical knowledge in digital and distributed control systems, digital signal processing for deterministic as well as stochastic signals, System–on-Chip (SOC) design, microcontrollers – Rasbery and Ardiuno, programming of microcontrollers and Embedded Systems using high-level languages.

Develop requisite knowledge and skills to integrate diverse systems in business environment and governance, for example, banking sector, finance sector, government sector, corporate sector, etc.
Learn and implement intelligent, secured and self-learning based software and hardware (receiver–transmitter systems, code generators, filters and power boosters, optical transmitters and receiver systems, switching devices, control devices, etc).
Deal with ICT management and architecture, and create/manage/deploy database in networking environment.


Computer Science Computer Engineering
Computer Science (CS) is a field of science that emphasises on researching data structure & algorithms, database theory, theory of computation, operating systems, and different programming languages. The objective is to solve software issues and develop software solutions or to design software products. CS also focuses on ways to improve the performance of existing software and computer systems. Computer scientists study and conduct experiments in the fields of artificial intelligence (AI), machine learning (ML), computer vision & virtual reality, and cybersecurity to develop new computing techniques and algorithms. Computer scientists are generally more interested in the analysis and manipulation of data, software application development, database systems, artificial intelligence, and computational theory.   Computer Engineering on the other hand, prioritises computer design and development. If you enjoy building computers, learning about hardware, or designing interfaces, you might prefer computer engineering to computer science. If you find yourself fascinated by computing theory and data analysis, a graduate or undergraduate degree in Computer Science might be the better option. Although computer engineers may also write software and handle data, the field of Computer Engineering is generally more focused on the development of physical computing components, circuitry, electronics, robotics, and embedded systems. Computer Engineering focuses on solving problems and designing hardware and software interfaces. Computer Engineers can be responsible for the development and prototyping of software and hardware simultaneously. Computer engineers conduct research on computer hardware and test computer hardware elements like processors, circuit boards, routers, write and assess software programs for digital devices and computers, design and test robots.   NU offers BTech in Computer Science and Engineering.
BTech (4 years) is a better option than BCA (3 years). BCA or Bachelor of Computer Applications imparts knowledge about computer applications whereas BTech trains students in the latest in cutting-edge technology.

BTech students are eligible to enrol directly into PhD , but BCA students need to complete MSc or MCA and to become eligible for enrolment into PhD.
There is scope for scientists and/or engineers to join ISRO.

Here is an overview of the eligibility criteria to apply for ISRO:

  • Academic qualification: BE/BTech with 65% marks.
  • Candidates who are in the final year of the qualifying degree can also apply provided they can produce the degree by the time final selections are made.
  • Age: Between 21 to 35 years for general category. There is a relaxation in the upper age limit for OBC by 3 years and 5 years for SC/ST candidates.
The selection process involves:

  • A written exam
  • Technical interview
  • Personal interview
  • Certificate verification
The written exam is conducted on all the ISRO centres in the first week of May. The syllabus for the written exam is the same as the syllabus of the GATE exam. Candidates need to score at least 60% marks in the written as well as interview for final selection.

Did you know? Dr K Kasturirangan, the former director of ISRO is now Chairperson (Chancellor’s equivalence).

Official website of ISRO to apply online:
Career options are galore for BTech Computer Science &and Engineering students. Explore them below.

CSE Level-1 Jobs:

  • Java Developer
  • Mobile Engineer
  • Software Engineer
  • Web developer
  • Front End Engineer
  • Back End Engineer
  • Solutions Engineer
  • Database Administrator
  • Cloud Engineer
  • UX Designer
  • Network Administrator
  • QA Engineer
  • Data Analytics – SQL Expert

BTech CSE Advanced Jobs:

  • Enterprise Architect
  • DevOps Engineer
  • ETS Consultant
  • Cloud Architect
  • Data Architect
  • Solutions Architect
  • API Microservice Designer
  • Product Designer
  • Technical Program Manager
  • Project Manager
  • Business Development Manager