Major Programmes

BTech/BE - Computer Science and Engineering

BTech/BE - Computer Science and Technology

BTech/BE - Computer Science and Engineering (Cyber Security)

BTech/BE Computer Science and Engineering (IoT)

BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

BTech/BE Computer Science and Engineering (Block Chain)

BTech/BE Computer Science and Technology (DevOps)

BTech/BE Computer Science and Technology (Big Data)

BTech/BE Computer Science and Engineering (Data Science)

BTech/BE Computer Engineering (Data Analytics)

BTech/BE CSE - Cloud Technology and Mobile application

BTech/BE CSE - Cloud Technology and Information science

BTech/BE CSE - Mathematics & Computing

BTech/BE CSE - Robotic process Automation

Other BTech Programme

Duration

4 Years

Level

Bachelor Programme

Mode of Admission

Merit /Management

Eligibility

Pass in PUC / 10+2 or equivalent with Physics and Mathematics along with Chemistry / Bio-technology / Computer Science / Biology / Electronics with English as Language having obtained an aggregate minimum of 45% marks & 40% in case of Karnataka SC, ST & OBCs and secured a rank in the Entrance Test (Entrance test not applicable to NRI / Foreigners ).

Fees

Merit Quota: Rs.25,000 to Rs 75,000 per annum
Management Quota: Rs.75,000 to Rs. 10,00,000 per annum

Admission Process

Merit - The candidates seeking admission under merit to B.Tech. programme should qualify CET/COMED-K/JEE/JEE-Main Exam. The qualified students are then required to undergo, JEE counselling, CET counselling and COMED-K counselling to get admission to B.Tech. programme.
Management - Students looking for Management seats can go for Direct Admission

Syllabus of BTech/BE Computer Engineering (Data Analytics)

Year 1
Year 2
Year 3
Year 4

Semester	Subject
Semester 1	Mathematics I Physics Programming and Data structures Big Data Overview Basic Electronics Engineering Design Thinking
Semester 2	Mathematics II Chemistry Advanced Data Structures Database Management Systems Environmental Science English Communication

Semester	Subject
Semester 3	Design and Analysis of Algorithms Computer System Architecture Advanced Database Management Systems Engineering Mechanics Operating Systems Functional Thinking I
Semester 4	Software Engineering & Project management Micro Processor & Embedded Systems Distributed Ingestion Advanced Programming using Java Distributed Analysis Open Elective-1

Semester	Subject
Semester 5	Object Oriented Analysis and Design Computer Graphics Distributed Processing I Functional Thinking II Formal Languages and Automata Theory Program Elective-1: Scalable Data Science
Semester 6	Artificial Intelligence Data Communication and Computer Networks Distributed Processing II Data Exploration at Scale Program Elective II: Big Data on Cloud Open Elective- HSS

Semester	Subject
Semester 7	Cryptography and Network Security Open Elective - 2 Professional Elective 3 Professional Elective 4 Professional Elective 5 Professional Elective 6 Professional Elective 7
Semester 8	Core Product Development

Engineering Entrance Exams

Placement of BTech/BE Computer Engineering (Data Analytics)

As companies are becoming more tech-driven and fast-paced now, the data analysis professionals are already playing an increasingly crucial role in businesses. Both start-ups and tech giants in India and also across the globe are adding data analysts to their workforce who are able to record, analyse and dissect data to drive efficient decision-making. It has been expected that data will grow up to 50 times by 2025 and demand for data analytics professionals will increase by 80% in the job markets.

The huge competition in the markets has forced the companies to stay updated with the technologies that are required to manage huge volumes of data on a daily basis. This ensures that they don’t become obsolete in the competitive markets. Therefore, the skilled professionals with data analytics are considered to be crucial for organisations to adjust their business models and stay ahead of the competition.

Benefits of BTech/BE Computer Engineering (Data Analytics)

The Computer Science & Engineering (Data Analytics) professionals will enjoy the following benefits in their career

Soaring demand for Analytics Professionals: There are more job opportunities today in data analytics then there were in the last 5 years in all the IT companies. The job trend graph for data analytics from various job listing sites proves that there is a growing trend for it and as a result there is a steady increase in the number of job opportunities in the field of data analytics.
Huge job opportunities & meeting the skill gaps: The demand for analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of data analytics being a ‘Hot’ job there is still a large number of unfilled jobs across the globe due to the shortage of required skill. So, there are a good number of job positions in the field of data analytics and no sign of saturation is witnessed in this field.
High Salaries: Strong demand for data analytics skills is boosting the wages for qualified professionals and making the organisations pay the data analytics professionals with big bucks for the right skill. The phenomenon is being seen globally where countries like Australia and the UK are witnessing this scenario.
Data Analytics: A Top Priority in a lot of organisations: According to various global surveys conducted in the data analytics field, it is clearly mentioned that data analytics is one of the top priorities of the organisations across the globe. The data analytics professionals are given top priority in all the organisations when compared to others. The management is more dependent on the data given by the data analytics professionals to take decisions on business strategies in the organisations.
Adaptation of Data Analytics is growing: New technologies are now making it easier to perform increasingly sophisticated data analytics on very large and diverse datasets. With data analytics providing an edge over the competition the rate of implementation of the necessary analytics tools has increased exponentially in both start-ups and top MNCs. More and more organisations are adapting data analytics technologies due to its capabilities that increases the efficiency and performance of the organisation to have a competitive edge in the markets.