About Computer Science and Engineering (Data Science and Analytics)

The computer science and engineering program in data science is a journey towards mastering CSE (CSE is a specialisation program) by applying Machine learning techniques. This computer science course focuses on computer hardware and software, programming, IT skills, internet technology, etc. It will train you in different areas of computer science and big data analytics. Data science has three fields such as data engineering, mathematics and statics. Recent developments in data science and engineering include: Data fabric, Cloud computing, Python instead of R, Increased AI automation, Augmented Analytics, Customer personalisation, Data provenance concerns, Scalable AI and small data. The students who participate in this course will be considered assets to the various organisations they go towards.

What is Computer Science and Engineering (Data Science and Analytics)?

The data science course focuses on visualisation, data analytics, and predictive modelling for data-driven decision-making. Machine learning, knowledge representation, deep learning and artificial intelligence will teach you relevant case studies. The course will equip the students with skills that they will need in their professional careers such as Software Engineering – this skill is essential when you need to write a high-quality code that does not cause any issues in the production stage, for this reason, they need to know about basic software skills; Communication skills – For a data science engineer to get across multiple projects and lead teams, the requirement is to convince the organisation on how the project will be beneficial to it for which good communication skills are essential. The need of communicating the results is also critical. Along with this, students will develop along the lines of statistics and probability, structured thinking etc. The curriculum for this course is as follows: In semester 1&2, students will be learning about Artificial Intelligence and Machine learning, Programming, Engineering Physics, Principles of Electrical Engineering, Engineering Chemistry, Application-based programming. The following two semesters will cover Discrete structures, Computer Organisation, Applied Statistical Analysis, Industrial Internship, Data acquisition, Computer Networks, JAVA, Database Management etc. After this, the course will follow up with Software Engineering, Algorithm Analysis, Computation, Data mining, Compiler Design, AI etc. Finally, the system will conclude with Web technologies and Big data analysis.

Eligibility and Career in Computer Science and Engineering (Data Science and Analytics)

The candidates with the courses BTech, B. E, MTech, ME degrees are sought by 37%. The education requirement for any graduate and BTech or BE should be 24%. The education requirement should be 30% for any postgraduate, and MTech or ME should be 13%.For BSc. Or BCA and MA or PGDM, the education requirement should be 7% and 2%. The duration of the data analyst course took 3 to 4 years that can be pursued after class 10+2. The bachelor master PG diploma certificate is three years, two years, one year, 3 to 6 months. The duration of the data analytics master certificate by Simplilearn is one year. After completing the data science and analytics course, people can apply for no. of jobs in the future. They are data scientists, data engineers, data architects, data analysts, database administrators, and many others.