| Sl.No. | Course Code | Course Name | Credits | Continuous Assessment Marks | Term End Exam Marks | Grand Total |
|---|---|---|---|---|---|---|
| 1. | CSB-1111 | Management Information System | 4 | 30 | 70 | 100 |
| 2. | CSB-1112 | Problem solving Using ‘C’ | 2 | 30 | 70 | 100 |
| 3. | CSB-1113 | Mathematics-I | 4 | 30 | 70 | 100 |
| 4. | CSB-1114 | Financial Accounting | 4 | 30 | 70 | 100 |
| 5. | ENB-1101 | EnglishCommunication | 2 | 30 | 70 | 100 |
| 6. | CSB-1101 | Computer Fundamental & Office Automation | 2 | 30 | 70 | 100 |
| 7. | CSB-1151 | Problem solving Using ‘C’ Lab | 2 | 30 | 70 | 100 |
| TOTAL | 20 | 210 | 490 | 700 | ||
Diploma in Big Data & Cloud Computing Course Admission
Mata Tripura Sundari Open University(MTSOU) offers a Diploma in Big Data & Cloud Computing as an advanced specialised program in one of the branches of Computer Application. The program is flexible and can be accessed remotely by students and working professionals who want to excel in their career graph. The diploma in big data cloud computing program is well supported by theoretical and practical learning. The advanced technology, database management, and data security taught in the Diploma in Big Data and Cloud computing effectively ensures student’s skill enhancement and market readyness. While learners learn to handle vast amounts of information efficiently, and leveraging scalable cloud solutions.
MTS Open University is committed to promote open learning and lifelong opportunities to study. Graduates of this program can explore job roles as data analysts, cloud administrators, IT consultants, and big data engineers across diverse industries.
- UGC–DEB Recognized Diploma in Big Data & Cloud Computing Course Program
- Flexible Learning Through Open & Distance Education
- Affordable Fee Structure with Digital Study Materials
- Career-Oriented Course Designed for Future Growth
Key Features of Diploma in Big Data & Cloud Computing Course at MTS Open University
- MATA Tripura Sundari Open University is Recognized by UGC- DEB
- Students are supported with quality Self-Instructional Material
- Provision of Multiple Entry and Exit Option
- Introduction of latest Technology for teaching and learning process through Digital Platform
Eligibility for Distance Diploma in Big Data & Cloud Computing Course in Tripura
10+2 or an equivalent qualification from any recognised board in India is required. There is no age limit for admission.
How to Apply for Diploma in Big Data & Cloud Computing Course in Agartala, Tripura from MTS Open University?
- Examine the Prospectus: Download the prospectus here, and select a course.
- Register Online: Click "New Admission" on the Admission Portal. Make a password and user ID
- How to Register: Enter your information, select just one course, and, if necessary, save the form as a draft.
- Upload Files: Upload your mark sheet (within the allowed size), passport photo, and signature in both Hindi and English.
- Pay Application cost: Fill out the online form and make the non-refundable admission cost payment.
- Print & Verification: Print the application and bring the original paperwork to MTS Open University on the specified date.
- Print & Verify: Until verification is completed, admission is tentative. Inaccurate information could result in rejection.
- Important: Admission is provisional; any inaccurate information in the application will be summarily rejected
Who Should Apply?
- Students who are not given opportunity in Formal Educational System
- Anyone who wants to finish their Diploma in Big Data & Cloud Computing Courseme remotely
- Professionals looking for an opportunity to uDiplomarade their qualifications
Contact for Admission Assistance
For guidance on Diploma in Big Data & Cloud Computing Course process in Tripura, contact:
Helpline: +91 8448789806
Email Id: admissions@mtsou.edu.in
For more details, download the Diploma in Big Data & Cloud Computing Course Prospectus 2025 or apply now.
Diploma in Big Data & Cloud Computing Course - Full Programme Details
Diploma in Big Data & Cloud Computing Course Eligibility
10+2 from any recognized board
Diploma in Big Data & Cloud Computing Course Duration
1 Year
Medium of Instruction
English
Fee Structure
| Year | Registration Fee | Programme Fee/Year | Exam Fee/Year | Total (in Rs.) |
|---|---|---|---|---|
| 1 | 1000 | 8000 | 2000 | 11000 |
| Total | 11000 | |||
Apply Online
Credit Requirement for the Award of Degree (as per NEP-2020)
| S.No. | Semester | Credits |
|---|---|---|
| 1 | I | 20 |
| 2 | II | 20 |
| Total | 40 | |
Diploma in Big Data & Cloud Computing Course - Course Syllabus
| Sl.No. | Course Code | Course Name | Credits | Continuous Assessment Marks | Term End Exam Marks | Grand Total |
|---|---|---|---|---|---|---|
| 1. | CSB-1211 | System Analysis & Design | 4 | 30 | 70 | 100 |
| 2. | CSB-1212 | C++ & Data Structure | 2 | 30 | 70 | 100 |
| 3. | CSB-3111 | Software Engineering | 3 | 30 | 70 | 100 |
| 4. | CSB-3211 | IoT & Cloud Computing | 3 | 30 | 70 | 100 |
| 5. | CSB-2214 | Database Management System | 3 | 30 | 70 | 100 |
| 6. | CSB-4213 | Data Warehousing & Data Mining | 3 | 30 | 70 | 100 |
| 7. | CSB-1251 | C++ & Data Structure Lab | 2 | 30 | 70 | 100 |
| TOTAL | 20 | 210 | 490 | 700 | ||
Note:The students will be awarded Diploma in Artificial Intelligence and Machine Learningprovided they secure 40 credits.
MOOCs
The University shall give flexibility in opting for MOOC (Massive Online Open Courses) by the students pertaining to the prescribed curriculum and also the credits earned in the MOOC courses may be dealt as part of the evaluation scheme as per UGC (Open and Distance Learning And Online Programmes) Regulations,2020.
MOOCs allow learners to start and stop their learning journey at their convenience, earning credits for completed courses and accumulating them towards a certificate, diploma and degree
Syllabus and Course Materials
The Syllabi, PPR and Self-Learning Materials (SLMs) are developed mostly by experienced faculty members of Mata Tripura Sundari Open University in consultation with content experts and the same will be forwarded to CIQA and BoS/Academic Council for further suggestions and approval.

