B.E - Computer Science and Engineering (Data Science)

Overview:

B.E CSE (Data Science) is a 4-year undergraduate degree programme. Data Science teaches the students how to combine machine learning techniques, algorithms, tools, business acumen and mathematics and apply on raw data to extract insight information from it. In short, technology, algorithm development and data inference are blended together to solve complex problems analytically in Data Science.
Throughout the entire duration of the programme, the students are taught how to amalgamate business knowledge, tools and statistics to generate business value in creative ways.
The four-year undergraduate curriculum includes a detailed delivery of Basic Sciences, Mathematical Foundations, Statistical Foundations, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and Data Visualization.

The curriculum imparts 21st century skills having the following components: Liberal education aspects for all round development, courses that trigger new age skills, project based learning, special topics (hands-on sessions on multiple topics with mentoring from expert), option for MOOC, UG Research Project/Product Development/Internships. The curriculum focuses on Liberal Art Courses, Foundation Courses, Professional Courses, and Electives that helps them build expertise in some specialized areas. Curriculum developed also emphasis on Design oriented thinking, Communication, Collaboration and Creativity right from 1st year.

Some Highlights of B.E - CSE (Data Science)

Top Colleges offering B.E CSE (Data Science):

• India Institute of Technology - IIT Madras
  
• CIET Raipur
  
• Manipal Academy of Higher Education, Manipal
  
• Amrita School of Engineering, Bengaluru
  
• DSCE Bangalore
  
• GH Raisoni Institute of Engineering and Technology, Nagpur
  
• ICEAS Bangalore - Impact College of Engineering and Technology
  
• CMRIT Bangalore - CMR Institute of Technology, Bangalore
  
• DSATM Bangalore
  
• Amity University, Greater Noida Campus
  

Why choose B.E CSE (Data Science)?

There is a huge demand of data scientist in the Indian market and it is still one of the top 5 technologies from the job perspective in IT industry. As per the NASSCOM report, there will be a need of about 2 lakhs data scientists in India over the next few years.

Especially in a developing country like India, there is scope for huge data-related operations such as data scientists, data analytics, big data engineers, big data managers, and data architects.

Data science can also be a rewarding career in terms of job satisfaction, offering intellectual challenges, ongoing growth, and cross-disciplinary abilities. Data scientists need technical skills in programming, statistics, and AI, as well as communication and teamwork skills. They should also keep up with the latest developments in the field.

There are a variety of roles that are open to both computer science and data science graduates such as business intelligence analysts, machine learning engineers or data scientists. As the tech industry continues to grow, both degrees can help you build lucrative careers.

Admission Procedure for B.E CSE (Data Science):

Students wanting to apply for undergraduate admission to a Data Science course should check the eligibility criteria of the desired institute before applying for the same. Most colleges accept students based on their scores in 10 + 2 examinations while some colleges require students to appear for entrance exams.

Candidates need to clear the Engineering Entrance Exams in order to get into the top data science colleges in India, such as JEE Main, JEE Advanced and GATE. Candidates must pursue undergraduate degrees in Data Science, Computer Engineering, or another relevant discipline.

Data Science courses are available at both undergraduate and postgraduate levels. The candidates should check the eligibility criteria before applying for admission. Students applying for a Data Science course should have an interest in Computers, Statistics, and Mathematics.

Top Entrance Exams for B.E CSE (Data Science):

JEE Mains

CUET UG

GUJCET

UPCET

MET

Eligibility For B.E CSE (Data Science):

• Students need to have completed their higher secondary education from a recognised board.
• Candidates should be from the science stream and should have subjects such as physics, mathematics, and chemistry, as their core subjects.
• Candidates are required to clear relevant entrance exams specified by the chosen institute.
• Aspirants must be above 17 years of age to pursue Data Science courses.

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST & OBC category) in the above subjects taken together, of any Board recognized by the respective State Governments / Central Government / Union Territories or any other qualification recognized as equivalent there to.

Career Opportunities for  B.E - CSE (Data Science)

The CSE data science course is also widely known throughout the world. The students get a good scope of jobs in the IT industry, manufacturing, and other sectors as well. Some of the notable career options in the CSE are software engineer, IT administrator, mobile application developer, and software developer.

Jobs Opportunities After  B.E - CSE (Data Science)

• Data Architects
  
• Data Science Consultant
  
• Financial Modeler 
  
• Data Engineers
  
• Clinical
  
• Pharmaceutical Data Analyst
  
• Database Administrators

Top Recruiters of  B.E - CSE (Data Science)

• Amazon
  
• Capgemini
  
• Wipro
  
• Infosys
  
• TCS
  
• IBM
  
• HCL
  
• Quick Heal
  
• SYNTEL
  

Syllabus for B.E CSE (Data Science):

The syllabus for B.E Computer Science and Engineering (Data Science) typically includes foundational subjects like statistics, programming, machine learning, artificial intelligence, mathematics, and data mining. The syllabus may also cover topics such as:

Basic engineering mechanics and physics

Mathematical reasoning and statistics

Data structures and algorithm design

Natural language processing and neural networks

Big data analytics and deep learning

Probability and vector space

Object oriented programming

Digital logic design