About Computer Science and Engineering with Big Data Analytics

Big Data and its concepts have been utilized for years to examine huge amounts of data to solve hidden patterns, correlations and other insights. Data has become one of the most fundamental aspects of development in the various business, technological, administrative organisations. Information gathering through organising and analysis of data sets provides a wide exposure to the functionality of numerous trends. The Faculty of Engineering and Technology offers a 4 year bachelors specialisation in Big Data Analytics. The program is strategically designed to provide students with the basis of data collection, organising and analysis. In order to expose students to an in-depth practical exposure to this field, the department is equipped with computer facilities and laboratories which allow students to be engaged at a personal level and in the realtime processing of data. The program exposes students to various systems and subjects such as data sciences, business analytics, machine learning, tableau and python amongst others. The program is also taken under the instruction of expert faculties and professors who go on to provide students with an in-depth understanding of how the industry works and functions, in preparation of various streams of careers.

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National Applicants

International Applicants

Program Outcomes

Why Study Computer Science and Engineering with Big Data Analytics

The world has been shaped by information and data which comes in endless streams and avenues, and the emergence of social and digital media has made data collection and analysis a fundamental process. The program provides to the students a specialized understanding of the contemporary trends in data which allows students to have a competitive advantage in the industry.

Data Analyst

An ability to make use of analytical deductive skills to interpret and analyse data into useful information

Data Scientist

An ability to provide scientific solutions for the purpose of interpretation and analysis of data and information.

Database Developer

An ability to develop effective database systems which are effectively capable of storing data in a systematic manner.

Big Data Engineer.

The ability to make use of engineering to develop big data units which serve the purpose of data storage

Database Administrator

An ability to operate and administer various database systems and ensure the effective storage and organising of data

Curriculum

Semester 1	Semester 2
Environmental Science	Computational Thinking for Structured Design-2
Open Source Software	Design Thinking
Computational Thinking for Structured Design-1	Global Certifications - Fundamentals (Azure, AWS, GCP)
Mathematics-I	ICT workshop
Communication Skills	Mathematics-II
First Year Elective-1 (Compulsory Subjects :1)	Advanced Communication & Technical Writing
	First Year Elective-2 (Compulsory Subjects :1)

Semester 3	Semester 4
Design of Data Structures	Operating System
Design of Data Structures Laboratory	Operating System Laboratory
Database Management System	Software Engineering
Database Management System Laboratory	Software Engineering Laboratory
Object Oriented Programming with Java	Computer Network
Object Oriented Programming with Java Laboratory	Computer Network Laboratory
Computer Organization and Microprocessor	Programming in Python with Full Stack Development
Computer Organization and Microprocessor Laboratory	Programming in Python with Full Stack Development Laboratory
Discrete Mathematics	Probability, Statistics and Numerical Methods
Professional Communication Skills	Professional Grooming and Personality Development
	Competitive Coding

Semester 5	Semester 6
Design and Analysis of Algorithms	Project – I
Design and Analysis of Algorithms Laboratory	Big Data Analytics
Theory of Computation	Big Data Analytics Laboratory
Data visualization and Data Analytics	Compiler Design
Data visualization and Data Analytics Laboratory	Compiler Design Laboratory
Enterprise Programming	Cloud Computing
Enterprise Programming Laboratory	Cloud Computing Laboratory
Professionalism & Corporate Ethics	PEC 01 (Compulsory Subjects :1)
Quant, and Reasoning	PEC 01-LAB (Compulsory Subjects :1)
Open Elective 01 (Compulsory Subjects :1)	PEC 02 (Compulsory Subjects :1)
	PEC 02-LAB (Compulsory Subjects :1)
	Employability Skills

Semester 7	Semester 8
Summer Internship	Internship
Deep Learning with NLP
Deep Learning with NLP Laboratory
Project – II
Big Data on Cloud
Big Data on Cloud Laboratory
PEC 03 (Compulsory Subjects :1)
PEC 03-LAB (Compulsory Subjects :1)
PEC 04 (Compulsory Subjects :1)
PEC 04-LAB (Compulsory Subjects :1)
Open Elective-2