B.Tech. (Computer Science and Engineering)

Duration: 4 Years (8 Semester)

Program Details

Computer science is a dynamic discipline that seamlessly articulates the concepts from basic sciences to technology with relevant practice through labs and projects for building problem-solving skills, and keeping industry requirements in place. The Department of CSE is dedicated to providing its students with a motivating environment and facilitating their academic requirements with the committed and expert supervision of faculty and experts from various fields from time to time.

The Department  of CSE offers B.Tech (CSE), B.Tech (IoT) , B.Tech (DS) & B.Tech CSE (AI) , M.Tech (CSE) and PhD(CSE). The B.Tech degree programme has been accredited by NBA.

Program Highlights

• Advanced curriculum with demanding practical exposure.
• Empowered with IBM Software Centre of Excellence
• Microsoft Ed-vantage Platinum Campus
• Infosys Advance Partner Institute: SKIT Microsite on Infosys Portal
• Deep learning avenues like IT Workshop and Conferences
• Exposure to the latest technologies
• Pedagogical and scenario-based teaching/learning processes

Learning Outcomes

• An ability to apply mathematics to solving computing problems
• An ability to work effectively in small groups on medium-scale computing projects.
• Demonstrate capability in building complex web applications using Data Structures and Algorithms, Various Programming Languages & Software methodologies
• Utilize Cloud Computing Platform to develop & deploy microservices applications & monitoring logging solutions
• Apply problem-solving skills and the knowledge of computer science to solve real problems

What are my Career Opportunities?

• Web Developer
• Software Developer
• Computer Network Architect
• Mobile App. Developer
• Game Developer
• Information Security Analyst
• Data Scientist
• Machine Learning Engineer
• Full Stack Developer / DevOps Engineer 
• Multimedia Programmer
• Computer and Information Research Scientist
• Big Data Engineer
• Cloud Engineer

B.Tech. (Computer Science and Engineering–Data Science)

Duration: 4 Years (8 Semesters)

Program Details

Data Science is an emerging course across industries worldwide, with the kind of data generated by both machines and humans. Data Science is an amalgamation of Statistics, Tools, and Business knowledge. It provides analytics and in-depth insights that are heavily used to improve industries' products and services, evaluate their business models, and enhance their decision-making process. Data Science deals with structured and unstructured data. B.Tech CSE in Data Science offers contemporary knowledge, training, and practice to equip the learners with skills to deploy and model data-based solutions to real-world problems. Learners will demonstrate strong capabilities to identify both structured and unstructured data, providing innovative solutions with the power of new technology.

Program Highlights

• Advanced curriculum with demanding practical exposure
• Data Analysis and Visualization Tools like MySQL, R & Python, Hadoop Tableau, Business Analytics & Machine Learning
• Real-life data sets and industry-specialized case studies to get practical insights
• Data Analytics Lab
• Pedagogical and scenario-based teaching and learning processes

Learning Outcomes

• Demonstrate analytical and visualization ability with tools such as R & Python, Tableau, Hadoop, and Predictive.
• Combine Science and Technology in application courses & projects requiring both, for dealing with real-world data-driven challenges
• Gain know-how of IT project management and the legal consequences of data handling, with a pinch of ethical thinking

What are my Career Opportunities

• Software Developer
• Data Scientist
• Data Science Engineer
• Data Analyst
• Big Data Engineer
• Data Business Analyst
• Quantitative Analyst
• Research Scientist 

B.Tech. (Computer Science and Engineering–Artificial Intelligence)

Duration: 4 Years (8 Semester)

Program Details

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviours on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Although AI has been studied for more than half a century, we still cannot make a computer that is as intelligent as a human in all aspects. However, we do have many successful applications. The main research topics in AI include: problem solving, reasoning, planning, natural language understanding, computer vision, automatic programming, machine learning, and so on. Of course, these topics are closely related with each other.

Program Highlights

• Fundamental and advanced knowledge about AI.
• Advanced theory with rigorous practical exposure
• Real life data sets and industry specialized case studies to get practical insights
• Pedagogical and scenario-based teaching and learning Processes
• Machine learning

Learning Outcomes

• Demonstrate in-depth knowledge of theory
• Develop important skills in Classical AI Techniques such as Algorithms and Neural Networks .
• Ability to identify, create, apply capabilities of AI enabled systems beyond conventional technology.
• Combine Science and Technology in application courses & projects requiring both, for dealing with real-world AI driven challenges

What are the possible Career Opportunities?

• Machine Learning Engineer
• Artificial Intelligence Engineer.
• Deep Learning Engineer
• Business Intelligence Developer
• Research Scientist.
• AI Data Analyst.

B.Tech. (Computer Science and Engineering - Internet of Things)

Duration: 4 Years (8 Semester)

Program Details

Internet of Things (IoT) is one such specialization that is offered along with the Computer Science and Engineering programme. Internet of Things known as IoT is the study that describes the network of objects that are different things which are embedded with sensors, software, and also other technologies to connect and exchange data with other systems and devices over the Internet. The world that we exist in is technology-driven. The Internet is the main source and also the base of every aspect of the things that we do. The Internet of Things covers all about connecting multiple devices or things with the use of internet sensors and also the infrastructure. We are all surrounded by IoT devices which include connectivity to laptops and smartphones. Internet of Things is a course that deals with the study of how devices are connected and how it helps to stay connected over the Internet. The course teaches the individuals on how the Internet of Things is helpful in our daily lives and how to stay connected over the Internet. The scope of this course is never going to stop as the Internet of Things keeps increasing with the technology change and also with the needs and requirements of people. All of us need to adapt to changes and also stay connected and updated because of the Internet of Things.  

Program Highlights

• Advanced theory with demanding practical exposure
• Real-life data sets and industry specialized case studies to get practical insights
• Pedagogical and scenario-based teaching/learning Processes
• Internet of Things in Education Lab

Learning Outcomes

• Demonstrate in-depth knowledge of theory and application in the domain of IoT
• Recognize the factors that contributed to the emergence of IoT
• Use real IoT protocols for communication
• Understand the concepts of Cryptography, IoT Architecture & Protocols and Connecting Devices
• Develop important skills to develop products and processed by adhering to ethical values and practices
• Secure the elements of an IoT device Transfer IoT data to the cloud and in between cloud providers Define the infrastructure for supporting IoT deployments
• Combine Science and Technology in application courses & projects requiring both, for dealing with IoT-driven challenges

What are the possible Career Opportunities?

• Data Analytics
• Sensor and Actuator Professional
• Embedded Programs Engineer
• Application Security
• Network Security
• Cloud Security
• Internet of Things (IoT) Security