B.C.A.(Hons.)

· Description:

This program designed and aligned with industry 4.0 and 5.0. It aims to provide a solid foundation in Mathematics, Statistics, Competitive Programming, Internship and Research to develop the younger minds to work as a team and improve programming and leadership skills. At the end of program, the learner can become a computer software expert and join in any software industry. The BCA Program has three streams:

Stream I: Data Science: Data science program focused on extracting knowledge from large data sets and applying the knowledge and insights from that data to solve problems in different domains. This course focuses on preparing data, formulating problems, analyzing data, developing data-driven solutions, and visualizing the findings in different application domains. Here student studies different courses like Mathematics, Statistics, Core computer subjects, Datamining, Bigdata, Data analysis and Machine Learning.

Stream II: Cyber Security & Digital Forensics: This program focussed on Computer security to systems and networks from attack by malicious actors, how to protect systems from unauthorized information disclosure, theft of, or damage to hardware, software, or data.

Here students study different courses like Mathematics, Statistics, Core computer subjects, cryptography, cyber law, security data analysis, digital forensic and visualization.

Stream III: Cloud & Mobile Computing: This program focussed on using a network of remote servers hosted on the internet to store, manage, and process data. Here student studies different courses like Mathematics, Statistics, Core computer subjects, IoT, Mobile App Development, Cloud networking & services, and performance engineering.

All courses are hands-on: The course delivery using modern industry tools.

• Andragogical Teaching Methodology Aligned with Industry 4.0/5.0: Most of the courses focussed upon updated industry standards.

• Industry Mentor for every single student from III semester onwards: All students will get industry mentor for their subject / project / internship / research implementation.

• Group project during the third year: students should do group project based on their area of specialization.

• One Full Semester Internship in the relevant Industry: students should undergo industry project / internship based on their area of specialization.

Course Structure

Sem	Discipline Core (DC) (Major/Minor)	Open Elective (OE)	Foundation Course (FC)	Competence Course (CC)	Total Credits
I	Programming Fundamentals (4) Discrete Mathematics (4) India’s IT Industry: History and Future (2)	—	Indian Intellectual Heritage (4)	Language 1 (3) Language 2 (3)	20
II	Database Management Systems- I (3) Probability and Statistics (4) Computer Systems (3)	—	Critical Thinking (2) Appreciating (He)Art(2)	Language 1 (3) Language 2 (3)	20
III	OOPS – Java (4) Data Structures algorithms (4) Database Management Systems-II (3) Statistical Inference with R (3)	OE-1 (3)	FC (4)	Language/ NCC/ NSS/ Sports/ Other (3)	24
IV	Scripting Language (4) Mathematics for Machine Learning (2) Operating Systems (4) Software Development in Production (4)	OE-2 (3)	Understanding Itihaas (4)	Technical Skills Thinking Skills Research Skills (3)	24
V	Data Mining (4) Introduction to Data Science / Introduction to Cyber Security/ Introduction to Cloud Computing (4) Minor (4)	OE – (3)	Appreciating Aesthetics (4)	Personal Skills Leadership Skills Project Management Research Skills (5)	24
VI	Machine learning I (4) (Jupyter notebook) Data Visualization with Tableau (4) Design Patterns(4)	OE-4 (3)		Social Skills Citizenship Skills/ Life Skills SEVA/ Bharatheeyam Research Skills (9)	24
VII	Machine Learning II / Elective I (4) Elective II (4) Elective III (4)	—		—	12
VIII	Internship/Research (4) Minor (8)	—	—	—	12
Total	96	12	20	32	160

Electives Streams

Data Science	Cyber Security & Digital Forensics	Cloud & Mobile Computing
Python for Data Science	Cryptography	Mobile app Development I
Data Analytics	Ransomware	Mobile app Development II
Data Visualization and Interface	Digital Forensics	High Performance Computing
Big Data	Secure Communications	Cloud Networking
Advanced Machine Learning	Ethical Hacking	Cloud Services
Mathematical Foundations for Data Science	Artificial Negligence	Internet of Things
Image Processing	Networking	Performance Engineering
Ethical & Professional Issues	Ethical & Professional Issues	Ethical & Professional Issues
Databases	Computer Crime & Digital Evidence
	Security & Forensic Tools
	Law , Experts & Justice
	Secure Computer Network
	Forensic Computing Practice
	Security Data Analytics & Visualization
	Networks, Information & Society

Indicative Courses:

Fundamentals of Computer	X structure of C	Basics of HTML/JAVA/VB Script
IT Equipment	Data Mining	Core JAVA
Digital Electronics	Python	WEB Designing
Big Data	Data Warehousing	Programming in .NET
Operating Systems	Software Testing	Android
Mathematical Foundations for Data Science	LAMP	Fuzzy Logic in ML
Image Processing	Artificial Negligence	WEB Engineering
Databases	Networking	Advanced JAVA