Masters of Science (Data Science)
Overview
The Masters of Science (Data Science) is a 2-year master degree program designed to prepare industry ready professionals who can conduct data-driven investigations and analytics using acquired data. The graduates will develop an in-depth understanding of data science and the techniques for analysis of qualitative and quantitative data to solve real life problems. Graduates will be able to predict trends and analyze data from various sectors such as manufacturing, banking and finance, retail, healthcare etc.
Educational
Objectives
To provide adequate knowledge of principles and scientific practices involved. To gain the skills required for systematic adoption of evolving changes in science and technology. To develop a collaborative environment for multidisciplinary project-based learning practices. To create state-of-art infrastructure, 24×7 learning environment, hands-on expertise and teamwork for shaping students to industry ready professionals or entrepreneurs. To demonstrate the sensible approach by understanding, analyzing and applying knowledge in accordance with the socio-economic context. Marwadi University – The first Institute for Information and Communication Technology Engineering in Saurashtra region, Rajkot which has done in-depth analysis and decided to initiate the branch for creating better opportunities for the younger generations.
Eligibility Criteria
| Resident Indian | ||
|---|---|---|
| A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science, Engineering or Equivalent Degree OR passed BSc / BCom / BA with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities with 50% marks (45% in case of SC/ST category). |
| For NRI | ||
|---|---|---|
| A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science, Engineering or Equivalent Degree OR passed BSc / BCom / BA with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities with 50% marks (45% in case of SC/ST category). |
Eligibility Criteria
A candidate shall have passed the qualifying examination of BCA / Bachelor degree in Computer Science / Information Technology, or any Bachelor degree with Mathematics / Statistics/ Business mathematics as a subject at UG Level or at 10+2 level with 50% marks in UG (45% in case of SC/ ST category)
Admission Process
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Duration and Fees Structure
| For Indian | ||
|---|---|---|
| MCA | 2 Years | ₹50000/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| MCA | 2 Years | 1600/- (Annual) |
Career Opportunities
Masters Degree courses in Computer Applications offered at Marwadi University, Rajkot prepares the computer professionals to meet high-end, complex demands of the IT industry. Today, opportunities like Software Engineering, Software Consulting, Network Engineering, Database Administration etc require students having an in-depth practical knowledge in the concerned area. Besides these, sectors like Banking, E-commerce, Data Communication etc are in a constant search for candidates with a very sound computer background. In this situation, a Master’s Degree in hand, would ensure the students’ bright future by sharpening their technical skills. In addition to these, Marwadi University offers ease of access to job opportunities by organizing on-campus placements for the MU students.
Career Options
Data Engineer
Data Scientist
Data Analyst
Database Administrator
Data Architect
Business Intelligence Analyst
Student Outcomes
Students with in-depth knowledge of system designing, processing of data, web designing, web solution, web hosting, data mining, software development, computer networks and ERP. Making students, skilled professionals Ability to operate the software and use their features to the fullest so that organisations that are employing them can achieve better outcomes. Program Outcomes
Provide solutions to the complex computing problems reaching substantiated conclusions using fundamental principles of statistical methods, computational science, and relevant domain disciplines. Use appropriate models of analysis, assess the quality of input, derive insight from results, investigate potential issues and arrive at appropriate solutions for solving real-world problems Acquaint with the latest trends in industrial/research settings and thereby innovate novel solutions to existing problems Be prepared with a varied range of expertise in different aspects of data science such as data collection, visualization, processing and modeling of large data sets. Interpret data findings effectively to any audience, orally, visually and in written formats Having a clear understanding of social, professional and ethical responsibilities. Be better trained professionals to cater the growing demand for data scientists and data engineers in industry Ability to function effectively as an individual independently and as a team-member or leader in diverse teams, and in multidisciplinary settings. 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 Specific Outcomes
Ability to demonstrate an understanding of various analysis tools and software used in data science Construct use case based models for various domains for greater perspective. Develop problem solving approach and present output with effective presentation and communication skills.
Curriculum
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
| Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05MC0101 | Data structure using C | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0102 | Web application development using PHP | Core | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 25 | 25 | 50 |
| 05MC0103 | Object oriented programming using Java | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0104 | Operating Systems | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0105 | Relational Database Management Systems | Core | 2 | 4 | 0 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0106 | MOOC – HTML / CSS / JS | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 05YO0101 | Yoga | Physical Education (Tertiary) | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 12 | 20 | 0 | 24 | 650 | |||||||
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
| Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05MC0201 | Computer Networks | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0202 | Python Programming | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0203 | Mobile Programming | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0204 | Mini Project – 1 | Core | 0 | 4 | 0 | 2 | 00 | 00 | 00 | 25 | 25 | 50 |
| 05MC020x | Elective -1 | Core | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 25 | 25 | 50 |
| 05MC0209 | MOOC – Node / Angular / Express / React JS | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 05SL0205 | Communication Skills | Physical Education (Tertiary) | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 10 | 20 | 2 | 24 | 550 | |||||||
List of electives – I
1) 05MC0205 – NoSQL Databases
2) 05MC0206 – Image Processing
3) 05MC0207 – Data Analytics and Visualization
4) 05MC0208 – C#.Net
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
| Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05MC0301 | Software Engineering | Core | 4 | 0 | 1 | 5 | 50 | 30 | 20 | 0 | 0 | 100 |
| 05MC0302 | Cryptography | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 05MC0303 | Artificial Intelligence | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 0 | 0 | 100 |
| 05MC0304 | Mini Project – 2 (Previous semester electives) | Core | 0 | 4 | 0 | 2 | 00 | 00 | 00 | 25 | 25 | 50 |
| 05MC030X | Elective – 2 | Core | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 25 | 25 | 50 |
| 05MC0309 | MOOC – Cloud Computing | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 05CE0301 | Corporate Etiquettes | Ability Enhancement | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 12 | 14 | 3 | 24 | 500 | |||||||
List of electives – II
1) 05MC0305 – Big Data Tools
2) 05MC0306 – Machine Vision
3) 05MC0307 – Machine Learning
4) 05MC0308 – ASP.Net
| Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
| Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 05MC0401 | Industry Defined Project (Internship) | Core | 0 | 36 | 0 | 18 | 0 | 0 | 0 | 250 | 50 | 300 |
| Total | 0 | 36 | 0 | 300 | ||||||||
Core Courses
| Serial No. | Course name |
| 1 | Data Structure using C |
| 2 | Web App Development using PHP |
| 3 | Object Oriented Programming using Java |
| 4 | Operating systems |
| 5 | RDBMS |
| 6 | Computer Networks |
| 7 | Python |
| 8 | Mobile Programming |
| 9 | Software Engineering |
| 10 | Cryptography |
| 11 | Artificial Intelligence |
Elective Courses
| Serial No. | Course name |
| 1 | NoSQL Databases |
| 2 | Image Processing |
| 3 | Data Analytics and Visualizationg |
| 4 | C# dot net |
| 5 | Big Data Tools |
| 6 | Machine Vision |
| 7 | Machine Learning |
| 8 | ASP dot net |
Career Opportunities
Data Engineer Data Scientist Data Analyst Database Administrator Data Architect Business Intelligence Analyst
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
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
Best Placement
Industry Associations
Dean's Message
Dr. R Sridaran (PhD)
Dean Faculty of Computer Applications
“Education is the passport to the future, for tomorrow belongs to those who prepare for it today” – Malcolm X
Our Recruiters
Successful
Alumni
Faculties
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.
The students of MCA have to undergo a 4 months Industry Internship Programme as a part of their curriculum in the last semester which will be evaluated jointly by the industry and academia experts.
FAQ
Q. Is there any Loan Facility Available ?
https://www.marwadiuniversity.ac.in/student-loan/
Q. Is there any Scholarship Available ?
https://www.marwadiuniversity.ac.in/student-loan/
Q. How is the Placement at Marwadi University ?
Q. How to Reach MU ?
Q. Is there a Hostel Facility available at Marwadi University ?
Q. What is the Fee Structure of Degree Programmes at Marwadi University ?
Q. How to Apply for Admission at Marwadi University? What form to fill ?
Q. Is Marwadi University recognised by the Government ?
Q. What all Documents are necessary to bring in while joining the University ?
Q. Is there any Medical Facility provided ?
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