BACHELOR OF TECHNOLOGY IN COMPUTER SCIENCE & ENGINEERING (BIG DATA AND ANALYTICS) GUNI

Program Details

Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

Fees

Tuition Fees

₹ 127800+IBM Charges Extra* /- per year

Contact No.:

+91- (M) 7567020548

Email

admission.ict@ganpatuniversity.ac.in

For International Students

Fee for SAARC & OTHER ASIAN	₹ 116000
Fee For International	$ 3000

Eligibility

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/Technical Vocational subject. Obtained at least 45% marks (40% in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% in case of candidates belonging to reserved category)

Program Outcome

1. Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3. Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

5. Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

6. Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

7. Understand the impact of the professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.

8. Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.

9. Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. Communicate effectively on complex engineering activities with the engineering community and with society, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12. Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Educational Objectives (PEO)

1. Graduates will be able to engage in learning, understanding, design and applying new ideas and technologies as big data & analytics field evolves along with participation in creative, synthetic and integrative activities.

2. Graduates will have the ability to adapt, contribute and innovate new technologies and systems in the key domains of Computer Science and Engineering.

3. Graduates will be ethically and socially responsible solution providers and entrepreneurs in Computer Science and other engineering disciplines.

4. Graduates will possess the additional skills in handling Big Data & Analytics using the state-of-art tools and techniques.

5. Graduates will be able to apply the principles of data science for providing real world business solution

Syllabus

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Internet Programming	Open	2CSE101	5	Effective from 2024
Essential of software foundation & programming–I	Open	2CSE102	5	Effective from 2024
Digital Electronic	Open	2CSE103	4	Effective from 2024
Basic Electronics	Open	2CSE105	4	Effective from 2024
Calculus	Open	2HS101	4	Effective from 2024

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Linear Algebra	Open	2HS102	4	Effect from 2023
Basics of Communication Systems	Open	2CSE202	4	Effect from 2023
Essentials of software foundation & programming - II	Open	2CSE203	5	Effect from 2023
Basics of operating system & scripting	Open	2CSE204	2	Effect from 2023
Computer organization	Open	2CSE205	4	Effect from 2023
Audit Course-II	Audit	AC-II	1	Effect from 2023

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Applied Engineering Mathematics	Open	2HS306	4	Effective from 2024
Entrepreneurship Development	Open	2HS309	3	Effective from 2024
Societal Internship	Regular	2HS308	1	Effective from 2024
Database Management System	Open	2CSE301	6	Effective from 2024
Data Structures	Open	2CSE302	5	Effective from 2024
Object Oriented Programming	Open	2CSE303	5	Effective from 2024
Audit Course-III	Audit	AC-III	1	Effective from 2024

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Probability & Statistics	Open	2CSE401	4	Effect from 2023
Operating System	Open	2CSE402	4	Effect from 2023
Functional Programming	Open	2CSE403	4	Effect from 2023
Software Engineering	Open	2CSE411	4	Effect from 2023
Front End Technologies	Regular	2CSE410	5	Effect from 2023
Audit Course-IV	Audit	AV-IV	1	Effect from 2023

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Microcontroller & Applications	Open	2CSE508	4	Effective from 2024
Computer Networks	Open	2CSE502	4	Effective from 2024
Algorithm Analysis & Design	Open	2CSE503	5	Effective from 2024
Summer Internship	Open	2CSE504	2	Effective from 2024
Big Data Analytics	Open	2CSE506	5	Effective from 2024
Virtualization	Elective	2CSE50E20	4	Effective from 2024
Data Science and Modelling using R	Elective	2CSE50E27	4	Effective from 2024
Aptitude Skill Development	Open	2CSE509	2	Effective from 2024

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Theory of Computation	Open	2CSE601	4	Effect from 2023
Information Security	Open	2CSE602	4	Effect from 2023
Discrete Mathematics	Open	2CSE607	3	Effect from 2023
Predictive Modeling	Open	2CSE608	5	Effect from 2023
Image Processing	Elective	2CSE60E20	3	Effect from 2023
Artificial Intelligence	Elective	2CSE60E14	4	Effect from 2023
High Performance Computing	Elective	2CSE60E25	4	Effect from 2023
Data Mining and Warehousing	Elective	2CSE60E27	3	Effect from 2023

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment
Compiler Design	Open	2CSE701	4	Effective from 2024
Machine Learning	Open	2CSE702	4	Effective from 2024
Advanced Big Data Analytics	Elective	2CSE70E13	4	Effective from 2024
Cloud Computing Essentials	Elective	2CSE70E19	4	Effective from 2024
Cognitive Computing	Elective	2CSE70E23	5	Effective from 2024
Cyber Defence	Elective	2CSE70E25	4	Effective from 2024

Subject Name	Subject Type	Subject Code	Subject Credit	Subject Comment	Attachments
Industrial Project	Regular	2CSE801	16	Effect from 2023

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Faculty of Engineering & Technology

BACHELOR OF TECHNOLOGY IN COMPUTER SCIENCE & ENGINEERING (BIG DATA AND ANALYTICS)