COMPUTER ENGINEERING (BIG DATA AND ANALYTICS - BTECH)
Overview
Machine Learning and AI
Digital Footprint
Statistics
Business IntelligenceBig Data techniques can be used to process a large set of data, data which is otherwise largely useless (unless it is interpreted and processed properly). The interpreted data can then be used for various purposes such as – strategic planning, R&D, education, governance, etc. Its applications are many. It covers (but is not limited to) the following domains –
Education
Business
Marketing and Sales
Military and Governance
Research and Development
Healthcare
Manufacturing
Media
Internet of Things
IT and CS 
Educational
Objectives
So, the main objectives of BTech with Big Data Analytics specialization is
Develop an in-depth understanding of the key technologies in data science and business analytics Apply principles of Data Science to the analysis of business problems. Use data analysis software to solve real-world problems. Frame and use appropriate models of Big Data analysis to solve real-life problems related to society.
To fulfill these objectives MARWADI UNIVERSITY – the Best Computer Engineering-BDA College in Rajkot has well-equipped labs with state-of-the-art infrastructure, digital workstations with the latest configurations and required software. Structures Lab, C Programming Lab, Internet Lab, Computer Networking Lab, Project Lab are some of the key places that impart practical knowledge and technical skills in the hands of the students. The Computer Engineering-BDA department has a highly qualified and experienced pool of faculty members who are ready to support students in their development in all dimensions.
Eligibility Criteria
| For Indian and International Students | ||
|---|---|---|
| 12th (HSc) in Science with a minimum of 45%. They should have appeared in GUJCET and should be registered under ACPC. Equivalent Qualification is required for international students |
Admission Process
Once you generate the PIN from the bank through online or offline process,
Register yourself on
Fill the Application Details
Choice Filling
(1, 2, 3..)
You’re on the path to DISCOVER yourself
Reporting at College
Actual Admission and Token Fee Payment
Admission Process
Once you generate the PIN from bank through online or offline process
yourself on
Application
Details
Filling
Rounds
(1, 2, 3..)
Admission
and Token
Fee Payment
College
path to DISCOVER
yourself
Fee structure
| For Indian Student (INR) | ||
|---|---|---|
| Computer Engineering (Big Data & Analytics) | 4 Years |
49000/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| Computer Engineering (Big Data & Analytics) | 4 Years |
1500/- (Annual) |
Curriculum
| B. Tech. Year I, Sem I | Evaluation Scheme | |||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term Work (TW) | |||||
| 01MA1101 | Differential and Integral Calculus | BS-UC | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME0101 | Elements of Mechanical Engineering | ES-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0101 | Basics of Electronics Engineering | ES-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01SL0102 / 01SL0103 | Reading and Writing for Technology /Speaking and Presentation Skills | GN-UE | 2 | 0 | 0 | 2 | 0 | 30 | 20 | 25 | 25 | 100 |
| 01EE0101 | Elements of Electrical Engineering | ES-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CR0103 | Value Education | GN-UC | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 50 | 100 |
| 01CE0102 | Computer Workshop | ES-UC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 |
| 01PE0101 | Physical Education/Sports/Yoga | NCC | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 29 | 17 | 2 | 10 | 22 | 200 | 150 | 100 | 200 | 200 | 850 | |
| B. Tech. Year I, Sem II | Evaluation Scheme | |||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 01MA1151 | Matrix Algebra and Vector Calculus | BS-UC | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CE0101 | Computer Programming | ES-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME0103 | Engineering Drawing | ES-UC | 2 | 0 | 4 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01GS0101/ 01GS0102 |
Physics/Engineering Chemistry I | BS-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EN0101 | Basics of Environmental Studies | ES-UC | 2 | 0 | 0 | 2 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01EC0102 | Digital Electronics | ES-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| Total | 29 | 17 | 2 | 10 | 23 | 300 | 180 | 120 | 125 | 125 | 850 | |
| B. Tech. Year II, Sem III | Evaluation Scheme | |||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term Work (TW) | |||||
| 01AI0301 | Probability and Statistics | BS-UC | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CE0301 | Data Structure | PC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CE1302 | Database Management System | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01IT0301 | Data Communication and Networking | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CE0305 | Programming with Python | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CR0301 | Professional Ethics | GN-UC | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 50 | 50 | 100 |
| 01CE0304 | Design Thinking and Problem Solving Skills | EE | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 |
| Total | 30 | 18 | 2 | 10 | 24 | 250 | 150 | 100 | 200 | 200 | 900 | |
| B. Tech. Year II, Sem IV | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||||
| 01CE0401 | Operating System | PC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE0407 | Big Data Essentials | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01IT0401 | Computer Network | PC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MA0231 | Discrete Mathematics and Graph Theory | BS-UC | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE0403 | Object Oriented Programming with Java | PC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE0405 | Human Centric Design Approach | EE | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 | |
| Total | 30 | 18 | 2 | 10 | 24 | 250 | 150 | 100 | 150 | 150 | 800 | ||
| B. Tech. Year III, Sem V | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term Work (TW) | ||||||
| 01CE0504 | Theory of Automata & Formal Language- | PC | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 | |
| 01AI0501 | Advanced Java Programming | LC-CE | 0 | 0 | 4 | 2 | 50 | 0 | 0 | 25 | 25 | 100 | |
| 01AI0502 | Artificial Intelligence | PC | 3 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE0503 | Design and Analysis of Algorithms | PC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| Department Elective-2 | PEC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | ||
| 01AI0503 | Cloud Computing | LC-CE | 0 | 0 | 4 | 2 | 50 | 0 | 0 | 25 | 25 | 100 | |
| 01CE0508 | Reverse Engineering | EE | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 | |
| Course Enrollment Udemy/Udacity etc | EE | 4 | X | ||||||||||
| Total | 30 | 14 | 0 | 16 | 27 | 300 | 120 | 80 | 150 | 150 | 800 | ||
| Department Elective – 2 1) 01CE0507-Image Processing 2) 01IT0503– Advanced Computer Network 3) 01CE0604– Cyber Security |
|||||||||||||
| B. Tech. Year III, Sem VI | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term Work (TW) | ||||||
| 01AI0601 | Human Computer Interface | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01IT0601 | Software Engineering | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01BD0601 | Big Data Analytics and Mining | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01BD0602 | Big Data Storage Management | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CR0601 | Business Benchmark | UC | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 50 | 50 | 100 | |
| 01AI06XX | Department Elective – 3 | PEC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AI0606 | Mathematics for Data Science | BS-UC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 0 | 0 | X | |
| Total | 31 | 19 | 0 | 12 | 25 | 250 | 150 | 100 | 175 | 175 | 950 | ||
| Department Elective – 3 1) Block Chains-01AI0604 2) System and Network Security-01AI0605 |
|||||||||||||
| B. Tech. Year IV, Sem VII | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term Work (TW) | ||||||
| 01AI0701 | Deep Learning | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE0601 | Compiler Design | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AI0702 | Natural Language Processing | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE0XXX | Department Elective – 4 | PEC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AI0XXX | Department Elective – 5 | PEC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01IT1703 | Major Project-I | EE | 0 | 0 | 8 | 4 | 0 | 0 | 0 | 50 | 50 | 100 | |
| NPTEL/SWAYAM course Enrollment/MOOC/Udemy etc | EE | 0 | 0 | 0 | 0 | 0 | 0 | X | |||||
| Total | 35 | 17 | 0 | 18 | 26 | 250 | 150 | 100 | 175 | 175 | 850 | ||
| Department Elective – 4 1. Android Programming (01CE0704) 2. Mobile Computing (01CE0701) 3. Business Intelligence (01CE0805) |
Department Elective – 5 1. Internet Of things (01CE0806) 2. Computer Vision (01AI0703) 3. Virtual and Augmented Reality (01AI0704) |
||||||||||||
| B. Tech. Year IV, Sem VIII | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term Work (TW) | ||||||
| 01IT0801 | Industrial Internship/Major Project-II | PC | 0 | 0 | 18 | 9 | 0 | 0 | 0 | 200 | 200 | 400 | |
| Total | 18 | 0 | 0 | 18 | 9 | 0 | 0 | 0 | 0 | 0 | 400 | ||
Core Courses
| Serial No. | Course name |
| 1 | Subjects related to Big Data like- Big Data Essentials |
| 2 | Big Data Storage and Management |
| 3 | Big Data Analytics and Mining. |
Elective Courses
| Serial No. | Course name |
| 1 | Machine Learning Essentials |
| 2 | Advanced Computer Network |
| 3 | Digital Image Processing |
| 4 | Cyber Security |
| 5 | Block Chain |
| 6 | System and Network Security |
| 7 | Android Programming |
| 8 | Mobile Computing |
| 9 | Business Intelligence |
| 10 | Internet Of things |
| 11 | Computer Vision |
| 12 | Virtual and Augmented Reality |
Career Opportunities
“Data is useless without the skill to analyze it.”
There is a gigantic amount of data moving around. What we do with it is all that matters right now. Therefore, Big Data Analytics is in the frontiers of IT. Big Data Analytics has become significant as it aids in the refining business, decision makings and providing the biggest benefit over the competitors. So, there is a growing demand for Data Analytics Professionals.
After completing this course, a candidate will become adept at activities such as
Career Options
Big Data Development
Operating Big Data Tools
Database Management
Data Analytics
IT firms
Data Analytics firms
Marketing and Sales firms
R&D firms
Sports firms and more…
Student Outcomes
Students will be able to realize the insight and challenge of Big Data and why current technology is insufficient to analyze the Big Data.Students will be able to apply non-relational databases, the techniques for storing and processing huge volumes of structured and unstructured data.Students will be able to understand the advantages that Big Data can offer to businesses and organizationsStudents will be able to use current practices, skills, tools, and technologies required for computing practice.Students will be able to recognize the challenges in Big Data with respect to the IT Industry and do quality research in this field. Career Opportunities, Placement, Packages, Alumni
“Data is useless without the skill to analyze it.”
There is a gigantic amount of data moving around. What we do with it is all that matters right now. Therefore, Big Data Analytics is in the frontiers of IT. Big Data Analytics has become significant as it aids in the refining business, decision makings and providing the biggest benefit over the competitors. So, it is a growing demand for Data Analytics Professionals.
After completing this course, a candidate will become adept at activities such asBig Data DevelopmentOperating Big Data ToolsDatabaseData Analytics
After completing this course you may find work at places such asIT firmsData Analytics firmsMarketing and Sales firmsR&D firmsSports firms and more…
Key Highlight
Marwadi University is the first college to introduce this Vertical (CE-BDA) in the region. Experienced Faculties, Industry Connects, Foreign Exchange Programmes.
Facilities
Lab
Oracle Lab
CISCO Lab
IBM LabResearch & Development LabBasic Computing LabAdvance Computing LabNetworking LabData Processing LabObject-Oriented Programming LabHigh-Performance Computing LabSoftware Engineering LabProject Lab 
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
HOD's Message
HoD, Department of Computer Engineering – Big Data Analytics
We all perceive that business analytics careers are booming across the fields of IT, financial services, healthcare, and biotech. As we step into the age where ‘INTERNET OF THINGS – IoT’ will continue to grow rapidly in the coming years and analytics tools and techniques for dealing with the massive amounts of structured and unstructured data generated by IoT will continue to gain importance, Analytics will play an important role in data security. Analytics are already transforming intrusion detection, differential privacy, digital watermarking and malware countermeasures. Companies will voice their need to routinely monetizing their own data for financial gain
We will be witnessing a growth of Cognitive Analytics and the relevance of ‘Open Source Solutions’ will regain momentum.
All these will naturally boost demand for Data Scientists- a hunt for people who can balance quantitative analysis skills with an ability to tell the story of their data in compelling, visual ways. It would not be wrong to say that the demand in the Business Analytics market would grow at an impressive pace in the upcoming years.
You will work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and generate actionable insights. As part of our continuous focus on the real-world application of classroom learning, corporate partners visit the University for seminars giving you hands-on experience.
Your success matters. We connect you to a broad range of resources, such as the Department of Career Development which gives you a professional edge, offering you value-added workshops to bolster your experiential education and a Placement team supporting you in providing the right leads.
Enjoy the challenge to identify the right mix of technologies and then put the pieces together.Our Recruiters
Successful
Alumni
Huzaifa Kenya
Uganda
Studying BCA
at a scholarship of
Study in India (SII)
“The scholarship has helped me to motivate my desires and my opportunities towards pursuing my career in Computer Applications. In four years, I see myself to be good in programming and software engineering.
Rahul Kumar
Bihar
MBA
“Just like every student has questions, doubts on the first day, I too had them. How the college would be, how the faculties will be, what will be the environment and so on. When I met the faculties and shared my questions, their way of answering and guiding made my journey here so easy.
Huzaifa Kenya
Uganda
Studying BCA
at a scholarship of
Study in India (SII)
“The scholarship has helped me to motivate my desires and my opportunities towards pursuing my career in Computer Applications.
Rahul Kumar
Bihar
MBA
“Just like every student has questions, doubts on the first day, I too had them. How the college would be, how the faculties will be, what will be the environment and so on.
Faculties
Mr.Name Surname
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Mr.Name Surname
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Mr.Name Surname
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Awards & Recognition
Flipkart grid 3.0 :
https://www.apnnews.com/team-alpha-of-marwadi-university-shortlisted-amongst-10000-entries-in-top-50-to-qualify-for-the-flipkart-grid-3-0-robotics-challenge/
https://www.highereducationdigest.com/team-alpha-of-marwadi-university-shortlisted-amongst-10000-entries-in-top-50-to-qualify-for-the-flipkart-grid-3-0-robotics-challenge/
https://indiaeducationdiary.in/team-alpha-of-marwadi-university-shortlisted-amongst-10000-entries-in-top-50-to-qualify-for-the-flipkart-grid-3-0-robotics-challenge/
Nurturing Bright Students- Training for Outstanding students in Trending Domains
Technical Workshops
MU Fest.
Internships (Full / Part time) (Online/Offline)
https://ieeexplore.ieee.org/document/9730646
https://www.analyticsvidhya.com/blog/2021/06/the-challenge-of-vanishing-exploding-gradients-in-deep-neural-networks/
https://www.analyticsvidhya.com/blog/author/harsh_dhamecha/
https://www.analyticsvidhya.com/blog/2021/08/how-to-perform-exploratory-data-analysis-a-guide-for-beginners/
Industry Association
FAQ
Q. Is there any Loan Facility Available ?
There are various kinds of scholarships and financial aid available at MU. Marwadi University has made special arrangements with State Bank of India, Bank of India, Central Bank of India, HDFC Bank and other private Banks for speedy sanctioning and dispersal of Educational and Student Loan to students taking admission.
https://www.marwadiuniversity.ac.in/student-loan/
Q. Is there any Scholarship Available ?
A student can avail various scholarships and financial aids at MU. There are International Scholarships, GATE Scholarship, Vidhyalaxmi Yojana, GPAT Scholarship, and alike. You can contact the University and get all the guidance related to Student Loan.
https://www.marwadiuniversity.ac.in/student-loan/
Q. How is the Placement at Marwadi University ?
Marwadi University provides 100% Placement Assistance and Opportunities. So much so that in the previous academic year, we hosted more than 480 companies for placement. If the students are dedicated enough with regular work and follow-ups, they are sure to receive placement in well-known companies with a worthy package. You can contact the Placement and Corporate Relations Department and go through Placement News to know more about it.
Q. How to Reach MU ?
Marwadi University is located on Rajkot-Morbi Road. You can take a city bus to Madhapar Chowk and from there, a Rickshaw Ride will drop you to Marwadi University which is a landmark known by all local drivers. It is 10 km from Bus Station, 12 km from Airport, and 10 km from Railway Station. You can easily find it on Google Maps if you want to self-drive to the University.
Q. Is there a Hostel Facility available at Marwadi University ?
Yes, Marwadi University has 6 hostels with a capacity of more than 3500 students. Many National and International students stay here and feel at home. There are ample facilities available at MU hostel. You can inquire about the hostel when you take admission and get accommodated in your new home.
Q. What is the Fee Structure of Degree Programmes at Marwadi University ?
Fee Structure at Marwadi University is different across various courses at UG and PG level. You can contact the Admission Department for knowing the Fees Structure of various courses offered at MU.
Q. How to Apply for Admission at Marwadi University? What form to fill ?
You can apply online by filling the Application form to start your admission process. If you do not want to fill the application online, you can visit the University for walk-in admissions anytime.
Q. Is Marwadi University recognised by the Government ?
Marwadi University is UGC (University Grants Commission) approved/listed. You can find the name of Marwadi University under the list of UGC approved Universities. MU is also the only institute that is given the NAAC A+ grade in Gujarat.
Q. What all Documents are necessary to bring in while joining the University ?
While you come for admissions, you need to carry your HSC and SSC results, school leaving certificate, JEE score card & registration slip (ACPC). We advise you to keep originals along with photocopies of the same. If you are taking admissions for a Master's degree, you need to also keep the Bachelor’s Degree Certificate and Marksheet, and any other examination’s scorecard if applicable along with the previously mentioned documents. (GATE score, CMAT, CAT score, GPAT score)
Q. Is there any Medical Facility provided ?
Yes, first-aid medical kits and assistance are available on campus. There is also an ambulance available 24/7 to take students off campus for any kind of emergency.
