Bachelor of Science (Data Science)
Overview
Educational
Objectives
To Understand the basics of computer applications. Study of solving complex problems by comparing various approaches. To design an application software for real life problems for key application areas.To define effective ways of communication, presentation and documentation. Function effectively as an individual or as a member or leader in the project team. Learn traditional v/s modern approaches in software development. To develop the foundation for higher studies in the field of computer applications. To help students understand the industry practices through experimental learning. Eligibility Criteria
| For Indian and International Students | ||
|---|---|---|
| A candidate shall have passed the examinations of 12th standard (10+2 pattern) from a recognized board with Mathematics / Statistics / Business Mathematics as a subject) |
Admission Process
Through Marwadi University (MU)
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Counselling
Admission Process
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documents
Counselling
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Fee structure
| For Indian Student (INR) | ||
|---|---|---|
| BCA | 3 Years | 37500/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| BCA | 3 Years | 1600/- (Annual) |
Curriculum
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05DS0101 | Programming in C | Primary | 3 | 4 | 0 | 5 | ||||||
| 05DS0102 | Linear Algebra and Matrices | Primary | 4 | 0 | 1 | 5 | ||||||
| 05DS0103 | Calculus | Primary | 4 | 0 | 1 | 5 | ||||||
| 05DS0104 | DBMS-I | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0105 | Foundation Skills-1: English | Secondary | 2 | 0 | 0 | 2 | ||||||
| Total | 17 | 8 | 2 | 23 | ||||||||
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05DS0201 | Data Structures | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0202 | Statistics for Data Science | Primary | 4 | 0 | 1 | 5 | ||||||
| 05DS0203 | R Programming | Primary | 2 | 4 | 0 | 4 | ||||||
| 05DS0204 | DBMS-II | Primary | 3 | 4 | 0 | 5 | ||||||
| 05DS0205 | Foundation Skills-2: English | Secondary | 2 | 0 | 0 | 2 | ||||||
| Total | 15 | 12 | 1 | 22 | ||||||||
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05DS0301 | Python for Data Science | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0302 | Introduction to Probability Theory | Primary | 4 | 0 | 0 | 4 | ||||||
| 05DS0303 | Data Warehousing and Data Mining | Primary | 4 | 0 | 0 | 4 | ||||||
| 05DS0304 | Design and Analysis of Algorithms | Primary | 3 | 4 | 0 | 5 | ||||||
| 05DS0305 | Object Oriented Analysis and Design | Primary | 4 | 0 | 0 | 4 | ||||||
| Total | 19 | 8 | 0 | 23 | ||||||||
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05DS0401 | NoSQL Databases | Primary | 3 | 4 | 0 | 5 | ||||||
| 05DS0402 | Machine Learning-I | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0403 | Distributed Computing | Primary | 3 | 2 | 0 | 4 | ||||||
| 05DS0404 | Operations Research | Primary | 4 | 0 | 0 | 4 | ||||||
| 05DS0405 | Mini Project-1 (R/Python) | Secondary | 0 | 4 | 0 | 2 | ||||||
| Total | 14 | 14 | 0 | 21 | ||||||||
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05DS0501 | Machine Learning-2 | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0502 | Data Visualization | Primary | 3 | 4 | 0 | 5 | ||||||
| 05DS0503 | Big Data Tools | Primary | 3 | 2 | 0 | 4 | ||||||
| 05DS0504 | Information Security | Primary | 4 | 0 | 0 | 4 | ||||||
| 05DS0505 | Mini Project-2 (ML) | Primary | 0 | 4 | 0 | 2 | ||||||
| Total | 14 | 14 | 0 | 21 | ||||||||
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05DS0601 | Big Data Analytics | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0602 | Cloud Computing | Primary | 4 | 0 | 0 | 4 | ||||||
| 05DS0603 | Artifical Intelligence | Primary | 4 | 4 | 0 | 6 | ||||||
| 05DS0604 | Major Project | Primary | 0 | 10 | 0 | 5 | ||||||
| Total | 12 | 18 | 0 | 21 | ||||||||
Core Courses
| Serial No. | Course name |
| 1 | C Language |
| 2 | Computer Architecture |
| 3 | Advanced C |
| 4 | DBMS and RDBMS |
| 5 | CONM |
| 6 | Data Structure using C |
| 7 | Java |
| 8 | OOAD using UML |
| 9 | Operating Systems |
| 10 | Computer Networks |
| 11 | Python |
| 12 | Management Information System |
| 13 | Software Quality Assurance |
| 14 | PHP Fundamentals Cloud Computing |
| 15 | Fundamentals Cloud Computing |
| 16 | Cyber Security |
| 17 | Mobile Computing |
Elective Courses
| Serial No. | Course name |
| 1 | Data Analytics using R |
| 2 | Computer Graphics |
| 3 | C# dot Net |
| 4 | Data Visualization |
| 5 | Fundamentals of Image Processing |
| 6 | ASP dot Net |
Career Opportunities
In recent decades, we have witnessed widespread use of computers in every field. The revolutionary usage of computers has brought up a wide spectrum of job opportunities in the IT sector. Companies are looking for Skilled Developers, Network Associates, System Administrators, Web Designers, Graphic Designers, Data Engineers, Data Scientists, Data Analysts, Cloud Engineers, Cloud Architects, Security Auditors, SOC Analysts, Ethical Hackers, Information Security Specialists etc. Choosing the programs at Faculty of Computer Applications would provide adequate knowledge, skills and exposure required by the IT industries of India and abroad. Moreover, students with mindset of becoming enterpreneurs would also receive the best possible support from our university.
According to a survey by LinkedIn, Data Science is the future of business and e-commerce world and around 40% increase is expected in jobs in the field of data science.
Career Options
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Computer Programmer
Student Outcomes
To Understand the essentials of basics of computer applications. Study of solving complex problems by comparing various approaches. To design an application software for real life problems for key application areas. To define effective ways of communication, presentation and documentation. Function effectively as an individual or as a member or leader in the project team. Learn traditional v/s modern approaches in software development. To develop the foundation for higher studies in the field of computer applications. To help students understand the industry practices through experimental learning.Program Outcomes
To Understand the essentials of basics of computer applications. Study of solving complex problems by comparing various approaches. To design an application software for real life problems for key application areas. To define effective ways of communication, presentation and documentation. Function effectively as an individual or as a member or leader in the project team Learn traditional v/s modern approaches in software development. To develop the foundation for higher studies in the field of computer applications. To help students understand the industry practices through experimental learning.
Program Specific Outcomes
Ability to utilize computing technologies, such as Machine Learning, Artificial Intelligence, Python and others to solve real world problems To be able to come up with critique ideas for improving implemented solutions To be able to interpret data findings effectively through ways of communication, presentation and documentation
Facilities
Lab
Total 4 labs equipped with high end configuration systems.
Specialized IoS lab for iPhone Application Development with 2.4 GHZ dual core Intel Core i5 processor with 8 GB RAM and 1 TB (5400 RPM) Hard Disks.
Specialized lab for Big Data Analytics and Cyber Security
Library
There are two main libraries which make up the MU Learning Resource Centre. Specialist collections, use of up-to-date technology, and a team of enthusiastic and dedicated staff all combined to form a library which serves the Users of the Marwadi Education as well as contributes towards the research needs of the Institution, and is one of the best ICT-equipped academic libraries in the region.
Fully equipped with RFID (Radio Frequency Identification Device) Technology
Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources
Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities
Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms
Additional Transportation facility for special Late Evening & Sunday for Library users
More than 50000 books in the library
Scholarship
Campus Facilities
Impressive Infrastructure IT Enabled Infrastructure Sports Infrastructure State-of-the-art Classrooms Hostels with Gymnasium Library with 50000+ Books Academic & Cultural Events
Key Highlight
Complementary Value Additions
- Designing Tools
- Dreamweaver and Web Hosting
- Content Management System
- UI/UX Design
- Latest frameworks
- Cyber Security Fundamentals
Industry Association
Dean's Message
Dean, Faculty of Computer Applications
“Education is the passport to the future, for tomorrow belongs to those who prepare for it today” – Malcolm X
Interested students will also be given opportunities to take part in R & D projects initiated by the department.
Dear BCA aspirant, I welcome you to the Faculty of Computer Applications, Marwadi University to enrich yourself in just 3 years and to become a versatile computer professional.
Hoping to have a life long association with you all.
Our Recruiters
Awards & Recognition
Student Credit Systems
Sports Day
MU Fest
Career Guidance Seminars
Marwadi Got Talent
Cyber Safe Abhiyan
7 Full time PhD guides are available in the department to enhance research activities under the sub domains of Computer Networks, Cloud Computing Security, Machine Vision, AI & ML and IoT. A special lab for research in Machine Vision is established with necessary peripherals and softwares. There are 26 Research Scholars currently active in full time/part time research.
FAQ
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