PG Diploma in Big Data Analytics - Mangalayatan Online
Mangalayatan Online's PG Diploma in Big Data Analytics equips students with essential knowledge and skills to analyze and interpret large datasets for data-driven decision making. This one-year program combines theoretical concepts with practical applications in data modeling, statistical analysis, and data visualization. Students gain comprehensive education covering data communication networks, AI and ML, data science using R programming, data warehousing, and big data analytics. The curriculum prepares graduates for high-demand roles in data science, business analysis, and IT project management.
Instructors:
English
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
1 Year
₹ 34,000
Overview
The PG Diploma in Big Data Analytics at Mangalayatan Online is a comprehensive one-year program designed to provide students with in-depth knowledge of data analysis and interpretation for large datasets. This UGC-approved and AICTE-accredited program offers a perfect blend of theoretical concepts and practical application for data modeling. Students master statistical analysis, develop critical thinking skills, and understand data visualization techniques. The program is structured to award 40 credits upon completion, preparing graduates for leadership positions in data-driven industries.
Why Technology & Analytics?
This program stands out for its comprehensive curriculum covering both foundational computer science principles and advanced data analytics concepts. Students benefit from Mangalayatan University's 20 years of educational excellence, NAAC A+ grading, and strong industry connections. The flexible online format allows working professionals to upskill without disrupting their careers. The program combines core subjects like discrete mathematics and financial management with cutting-edge technologies like AI, ML, and big data analytics, ensuring graduates are well-prepared for the evolving demands of the data science industry.
What does this course have to offer?
Key Highlights
UGC Entitled and AICTE Accredited program
NAAC A+ Graded University
Comprehensive big data analytics curriculum
40 credit hours program
Placement support available
Flexible online learning format
Affordable fee structure at ₹34,000
Hands-on training with R Programming
Expert faculty with years of experience
Who is this programme for?
Working professionals seeking to transition into data analytics
IT professionals looking to specialize in big data
Recent graduates wanting to enhance analytical skills
Business analysts aiming to upgrade their capabilities
Database administrators interested in advanced analytics
Anyone interested in data-driven decision making
Minimum Eligibility
Graduation degree from any recognized university
10+2 education completed
45% aggregate in Bachelor programs
Basic computer knowledge
Access to computer and internet
Who is the programme for?
The admission process is straightforward with rolling admissions throughout the year. Candidates must hold a graduation degree from any recognized university with 45% aggregate marks in their Bachelor's program. The academic structure spans two semesters over one year, with students required to secure 40 credits for program completion. Each semester focuses on building both foundational knowledge and specialized skills in big data analytics and related technologies.
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 is structured across two comprehensive semesters covering 40 credits. Semester 1 introduces fundamental principles including Data Communication and Computer Networks, Computer Organization and Architecture, Professional Communication, Discrete Mathematics, Accountancy and Financial Management, and Programming with C including lab work. Semester 2 advances into specialized topics including Artificial Intelligence and Machine Learning, Data Science using R Programming with lab sessions, Soft Computing Techniques, Big Data Analytics, Mobile Computing, and Data Warehousing and Data Mining. This progression ensures students develop a strong foundation before tackling advanced analytics concepts.
There are 2 semesters in this course
The program spans two semesters covering fundamental and advanced topics in big data analytics. Semester 1 establishes core knowledge in data communication and networks over computers, business english communication, finite mathematics, financial management, and programming language with lab access. Students learn computer organization and architecture fundamentals essential for understanding data processing systems. Semester 2 advances into specialized areas including Artificial Intelligence and Machine Learning for intelligent data analysis, Data Science using R Programming for statistical computing with hands-on lab practice, Soft Computing Techniques for flexible problem-solving, Big Data Analytics for processing massive datasets, Mobile Computing for portable analytics solutions, and Data Warehousing and Data Mining for extracting meaningful patterns from large data repositories. The curriculum emphasizes both theoretical understanding and practical application.
Semester 1
Semester 2
Programme Length
The program is completed in one year across two semesters. Students can learn at their own pace through the flexible online format while maintaining their professional commitments. The total duration includes 112 hours of comprehensive instruction and practical learning.
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 program follows a semester-wise fee structure with transparent pricing. The course fee is ₹15,000 per semester, with an additional exam fee of ₹1,500 per semester. The annual fee totals ₹34,000, plus a one-time registration fee of ₹1,000. The total all-inclusive program fee is ₹34,000, making it an affordable option for quality education in big data analytics.
Fee Structure
Payment options
Learning Experience
Students experience flexible online learning through Mangalayatan's dedicated learning management system. The program combines recorded lectures, interactive sessions, hands-on lab work, and practical assignments to ensure comprehensive understanding. With 112 hours of instruction spread across the program, students receive expert guidance from experienced faculty members. The online format allows students to access course materials anytime, anywhere, providing the flexibility to balance education with professional and personal commitments. Practical lab sessions in C programming and R programming provide hands-on experience essential for data analytics professionals.
University Experience
Mangalayatan Online, established in 2006, is a leading institution in India's higher education landscape. The university holds NAAC A+ grading, UGC entitlement, AICTE accreditation, and AIU membership. Students benefit from expert faculty with extensive experience in operations and management, affordable programs, and placement support. The institution maintains strong industry connections with numerous recruiters and industrial collaborations.
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
₹ 34,000
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.