Diploma in Big Data and Cloud Computing
Mangalayatan Online's Diploma in Big Data and Cloud Computing provides comprehensive education in data analysis using big data technologies and cloud platforms. Students learn to analyze large datasets, manage database systems, and implement cloud computing solutions through real-time projects. The program combines theoretical knowledge with practical applications in data warehousing, data mining, IoT, and system design to prepare graduates for emerging technology careers in data-driven industries.
Instructors:
English
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Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
1 Year
₹ 21,000
Overview
The Diploma in Big Data and Cloud Computing from Mangalayatan Online is a comprehensive one-year program designed to equip students with essential skills in data analysis and cloud technologies. The curriculum covers fundamental programming languages, database management systems, data warehousing, data mining, and cloud computing platforms. Students gain hands-on experience through lab sessions and real-time projects, developing competencies in managing large datasets and implementing cloud-based solutions for modern business environments.
Why Technology & Analytics?
This diploma program offers excellent opportunities for students to enter the rapidly growing fields of big data and cloud computing. With a focus on practical skills and industry-relevant curriculum, students learn to analyze and optimize large datasets using cloud platforms. The program's affordable fee structure and flexible online format make advanced technology education accessible, preparing graduates for high-demand careers in data analytics, cloud architecture, and database management.
What does this course have to offer?
Key Highlights
Comprehensive curriculum covering big data and cloud fundamentals
Hands-on training with lab sessions and real-time projects
Practical database management experience
Affordable fee structure at ₹21,000 total
UGC entitled and AICTE accredited
Flexible online learning format
Experienced faculty with industry expertise
Who is this programme for?
Students who have completed 10+2 education
Aspiring data professionals and cloud engineers
Individuals interested in big data analytics
Career changers looking to enter data technology
Students seeking affordable diploma programs in emerging technologies
Minimum Eligibility
Completed 10+2 education from recognized board
45% aggregate in Higher Secondary
Who is the programme for?
The program spans one year divided into two semesters. Students must complete 40 credits to receive the diploma degree. The curriculum is structured to build foundational knowledge in programming and systems in the first semester, advancing to specialized topics in big data and cloud computing in the second semester. Assessment includes coursework, lab assignments, and examinations with a minimum requirement of 40% marks.
Here's a Glimpse of Your Degree
*Disclaimer: The image is for illustrative purposes only and may be subject to change at the discretion of Management.
Selection process
How to apply?
Curriculum
The curriculum encompasses essential subjects including programming fundamentals, system analysis and design, database management, data warehousing, data mining, IoT, and cloud computing. Students progress through systematic learning modules that combine theoretical concepts with practical applications in data analysis and cloud platforms. The program emphasizes hands-on experience through dedicated lab sessions and real-time project work.
There are 2 semesters in this course
The diploma program is divided into two semesters. Semester 1 introduces fundamental principles including Management Information System, Problem Solving Using C, Mathematics, Financial Accounting, English Communication, and Computer Fundamentals with Office Automation, along with practical C programming lab sessions. Semester 2 advances to specialized topics including System Analysis and Design, C++ and Data Structures, Software Engineering, IoT and Cloud Computing, Database Management System, and Data Warehousing and Data Mining, complemented by C++ and Data Structure Lab sessions for hands-on learning.
Semester 1
Semester 2
Programme Length
The program duration is one year, structured across two semesters. Students follow a systematic learning path with defined coursework and assessment schedules for each semester, allowing flexibility to learn at their own pace.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Assistant Professor
MBA, Ph. D in Management
Assistant Professor
Tuition Fee
The total program fee is ₹21,000 including all charges. This comprises ₹9,000 per semester as course fee, ₹1,000 per semester as exam fee, ₹20,000 as annual fee, and a one-time registration fee of ₹1,000. The fee structure is designed to be affordable and includes all necessary components for program completion.
Fee Structure
Payment options
Financial Aid
Learning Experience
Students experience flexible online learning with access to recorded lectures, digital learning materials, and interactive lab sessions. The program combines self-paced learning with structured curriculum delivery through real-time projects and practical applications. Students can balance their studies with other commitments while gaining hands-on experience in big data and cloud technologies.
University Experience
Mangalayatan University, established in 2006, offers NAAC A+ graded, UGC entitled, and AICTE accredited programs. The university is committed to quality education and academic excellence with a strong focus on research and innovation. Students benefit from the university's extensive experience in higher education, expert faculty with industry knowledge, and comprehensive student support throughout the program.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Mangalayatan University is a private university established in 2006 in Aligarh, Uttar Pradesh. Located on a 70-acre campus 20km from the Yamuna Expressway, the university offers undergraduate, postgraduate, and doctoral programs across multiple disciplines including Engineering, Business, Law, Pharmacy, and Liberal Arts14. The institution has graduated over 7,000 students and currently hosts approximately 3,500 students from India and abroad.
#1201-1400
QS World Ranking 2024
#6937
EduRank Global
#441
EduRank India
Affiliation & Recognition
UGC
AICTE
NAAC
BCI
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Assistant Professor
MBA, Ph. D in Management
Assistant Professor
Career services
The university maintains a dedicated Training and Placement (T&P) Cell located in the SARAYU block, led by Director Er. T.S. Rajput and Training and Placement Officer Mr. Love Mittal. The cell provides comprehensive career development support including placement assistance, internships, and industry exposure. Services include resume building workshops, mock interviews, career counseling, and industry interaction sessions. The placement team works year-round to build industry relationships and facilitate student placements through on-campus and off-campus recruitment drives.
1000+
Total Placement Opportunities
500+
Number of Recruiters
10 LPA
Highest Package 2023
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
1 Year
₹ 21,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.