Get updates on Eligibility, Admission, Placements Fees Structure
Fees Details
₹ 53.30 K
$ 1.20 K
Course Details
Mizoram University, Aizawl is offering an online MBA programme in Big Data Analytics. This online MBA Big Data Analytics course is vital to an individual's resume for a prospective career. This online MBA programme from Mizoram University will provide students with the right tools to optimise big data and use it effectively to stream across their business goals.
The two-year online MBA programme will introduce the students to the technical concepts of machine learning, advanced analytics and data mining to help them gain the right knowledge for a prosperous career. Explore the online MBA in Big Data Analytics course, admission process, eligibility criteria and more.
Programme Offerings
- UGC approved
- Expert Faculty
- Practical experience
- skill development
- placement assistance
- Career Assistance
Eligibility Criteria
To gain admission for the online MBA Big Data Analytics programme offered by the Mizoram University, a student must ensure that they clear following eligibility criteria
Passed UG or its equivalent( 10 +2 + 3) with Mathematics as a subject in Higher Secondary or a recognized University/ Board.
Along with this, a candidate with a PG diploma in Statistics or Computer Science is also eligible.
Admission Details
To gain admission in the online MBA Big Data Analytics programme, one needs to fill out the online admission form available at the online domain of the University and submit all the required documents asked by the University.
Post this, an executive from the University will contact you to give further details about the online MBA programme. You will then be guided to complete the rest of the admission process
Application Details
The application process for the online MBA Big Data Analytics programme is as follows
Visit the official website of Mizoram University - https://www.mzuonline.in/
Select and navigate through the online MBA in Big Data Analytics course
Click on the Apply Now option
Fill in the required details and proceed
Complete the application form online
Upload the required documents
Pay the fee as required for admission
The following documents are also required to be submitted for the application process
Graduation Original Degree / Provisional Certificate
Memorandum of Marks Certificate of the Qualifying Examination
A document for Age Proof is mandatory for all candidates seeking admissions, and the following documents can be considered for the same
Class 10 certificate
Birth Certificate
Evidence as per the Passport copy
Admission Fee Receipt
The Syllabus
The curriculum of the online MBA Big Data Analytics Course is structured around 4 semesters, with a string of theory and application-based courses for the holistic development of the student. The detailed semester-wise syllabus of the course is as follows:
Business and Professional Skills
Business Environment and Legal Compliance
Managerial Economics
Data Science and Business Analysis
Financial Accounting
Financial Management
Human Resource Management
Big Data Analytics in Business
Decision Science
Software Project Management
Strategic Management
Machine Learning
Applied Marketing Analytics
Principles of Artificial Intelligence
Data Warehousing and Mining
Econometrics for Business Decisions
Entrepreneurship in Digital Environment
Social Media Analytics
Project Work
Seminar and Viva Voce
MZU Online Frequently Asked Questions (FAQ's)
The medium of instruction for this course will be English.
A student has to gain a total of 140 credits for the online MBA course.
Yes, Mizoram University, Aizawl provides a career counselling programme at the end of the online MBA Big Data Analytics course which helps the students map out a practical career plan for themselves.
The University provides constant learner support to the students, including a panel of subject experts who will handle the queries of the students and resolve their doubts, posted on the dashboard.
Students are provided study resources and interactive lessons through expert faculty members in the form of videos, lectures and models.