B.Voc in Data Analytics
Program Overview
The B.Voc in Data Analytics from MIU University is a three-year undergraduate vocational degree designed to prepare students for careers in the rapidly growing field of data-driven decision-making. The program combines foundational concepts of data analytics, statistics, programming, databases, and quantitative methods with practical learning. Students learn how raw data can be collected, organized, interpreted, and transformed into meaningful insights that support business and organizational decisions. The course is structured across six semesters and emphasizes industry-oriented education through practical activities, projects, and internship opportunities. With data becoming an essential resource across almost every sector, the program provides students with relevant technical and analytical skills for modern workplaces.
The curriculum covers important areas such as Data Mining, Machine Learning, Database Management, Data Warehousing, Big Data Analytics, Data Visualization, and Time Series Analysis. Students also gain an understanding of data ethics, privacy, governance, and quantitative methods, helping them approach data responsibly and systematically. Practical exposure allows learners to work with real-world datasets and develop their ability to identify patterns, analyze trends, and communicate findings effectively. The program is particularly suitable for students interested in technology, mathematics, business intelligence, research, and problem-solving. The course information provided by MIU states that the program is offered in regular mode and has a duration of three years.
The B.Voc in Data Analytics can open career opportunities across IT, finance, healthcare, marketing, e-commerce, consulting, education, logistics, and other data-intensive industries. Depending on their skills and interests, graduates can pursue roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, Data Engineer, Business Analyst, Data Visualization Specialist, Research Analyst, Marketing Analyst, and Operations Analyst. The course information states that the total fee is approximately INR 1.5 lakh, divided across six semesters, with eligibility generally requiring 10+2 or an equivalent qualification; diploma holders in a relevant field may also be eligible. Through its combination of academic concepts and practical exposure, the program aims to develop graduates who can confidently work with data and contribute to technology-driven organizations.
Eligibility Criteria
Applicants who have completed their 12th grade from a recognized school board with 50% or more marks are eligible to apply for the vocational degree program in Data Analytics. Those who have completed their 10th grade and possess a diploma in a relevant stream are also eligible to apply for the course. International students are welcome to apply for enrollment in the program.
Approval Details
MHRD, Government of India and UGC
Curriculum
- Introduction to Data Analytics and its applications across different industries.
- Development of basic statistical and quantitative reasoning skills.
- Introduction to programming concepts used in data analysis.
- Understanding databases and fundamental data management principles.
- Learning how data is collected, organized, cleaned, and prepared for analysis.
- Introduction to spreadsheets, basic data handling, and analytical problem-solving.
- Development of communication and professional skills for presenting analytical findings.
- Study of Statistics for Data Analytics and important statistical concepts.
- Understanding probability, distributions, sampling, and descriptive statistics.
- Introduction to database management systems and structured data.
- Learning fundamental techniques for storing, retrieving, and organizing data.
- Understanding data preparation and basic data-cleaning processes.
- Introduction to quantitative methods for solving analytical problems.
- Practical exercises involving datasets and basic statistical interpretation.
- Introduction to Data Mining and techniques for discovering useful patterns.
- Learning methods for identifying trends, relationships, and anomalies in datasets.
- Introduction to data visualization and effective presentation of analytical results.
- Understanding different types of charts, graphs, and dashboards.
- Practical work with datasets to generate meaningful insights.
- Introduction to data-driven decision-making in business environments.
- Development of analytical thinking and problem-solving abilities.
- Introduction to Machine Learning and its role in modern data analytics.
- Understanding supervised and unsupervised learning concepts.
- Study of predictive analytics and basic model-building approaches.
- Introduction to time series analysis and analysis of data over time.
- Learning how analytical models can be evaluated and interpreted.
- Practical projects involving real-world datasets.
- Development of skills for applying analytical techniques to business problems.
- Introduction to Big Data Analytics and large-scale data processing.
- Understanding data warehousing concepts and architectures.
- Study of methods for integrating data from multiple sources.
- Introduction to advanced analytics and large dataset management.
- Understanding data governance and responsible data practices.
- Study of Data Ethics and Privacy in professional environments.
- Industry-oriented projects designed to strengthen practical analytical skills.
- Application of data analytics concepts to real-world business and industry problems.
- Development of an industry-oriented analytics project.
- Practical use of programming, databases, visualization, and analytical techniques.
- Application of machine learning and predictive analytics concepts where appropriate.
- Understanding professional approaches to data governance, privacy, and security.
- Internship or practical exposure to strengthen workplace readiness.
- Preparation for careers such as Data Analyst, Business Intelligence Analyst, Data Engineer, Business Analyst, and Research Analyst.
Fee Structure
Admission Process
Students can apply for theย B.Vocย Data Analytics programme through EasyShiksha. The complete application process is designed to make admission simple and convenient for eligible students.
Step 1: Click on Apply Now
Click theย Apply Nowย button on the B.Voc Data Analytics programme page and begin your application through EasyShiksha.
Step 2: Complete Personal Information
Fill in the required personal, contact and academic details accurately in the application form.
Step 3: Upload Required Documents
Upload the required documents for eligibility and admission verification as specified during the application process.
Step 4: Pay Application Fee
Pay the applicableย application feeย through the available online payment options to submit your application and initiate the admission process.
Step 5: Application Review
Theย EasyShiksha team reviews your application and submitted documentsย to verify your eligibility and ensure that the required information and documents have been provided.
Step 6: University Enrollment
Once the application is successfully reviewed and the student is found eligible, EasyShiksha facilitates theย enrollment process withย Manipur International University.
Step 7: LMS Access
After successful enrollment, the student is provided access to theย Learning Management System (LMS)ย to begin their academic journey and access the available learning resources.
Start Your Application
Ready to begin your journey in Software Development? Clickย Apply Nowย to submit your application through EasyShiksha.
Career & Placements
After completing an undergraduate 3-year degree course in Data Analytics, students can work in various IT firms as
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Data Analyst |
Business Intelligence Analyst |
Data Scientist |
Data Engineer |
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Data Architect |
Data Visualization Specialist |
Business Analyst |
Quantitative Analyst |
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Machine Learning Engineer |
Healthcare Analyst |
Cybersecurity Analyst |
Marketing Analyst |
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Operations Analyst |
Risk Analyst |
Environmental Analyst |
Supply Chain Analyst |
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Research Analyst |
Fraud Analyst |
Education Analyst |
Consultant |
Manipur International University, Imphal
Manipur International University is a UGC-recognized private university located in Imphal, Manipur, India. Known for its strong industry connections, cutting-edge curriculum, and commitment to technology-driven education, Manipur International University has established itself as one of central India's premier higher education institutions.
The university's vision is to foster academic excellence, industry readiness, and global competitiveness among its graduates โ making it an ideal partner for EasyShiksha's mission of accessible, quality online education.
EasyShiksha has signed an MoU with Manipur International University to facilitate applications for various university programs and jointly offer B.Voc programs. All degrees and certifications under these programs will be awarded by Manipur International University. The EasyShiksha team will provide complete assistance and support throughout the admission and program process.
Documents
Frequently Asked Questions
Yes, Manipur International University (MIU) is recognized as per the sections 2(f) and 22 of the UGC Act, 1956. This is a recognized university by the university grant commission and is allowed to award undergraduate, postgraduate and doctoral degrees. Recognition by UGC implies that degrees awarded by MIU are recognized for higher education, competitive exams and job opportunities in India. MIU is an institution where students desiring quality higher education in Northeast India can achieve their educational goals without any difficulty
Students must opt for Manipur International University as it provides degree courses that are recognized. MIU provides numerous choices of courses from undergraduate, graduate to doctorate level. The curriculum of the course is in accordance with National Education Policy (NEP) 2020. Practical learning, innovative research and industry-oriented education is what MIU students believe in to ensure that the students create successful careers. Experienced faculty and modern facilities provided by MIU to its students.
Manipur International University is located at MIU Palace, Luwangsangbam Makha Leikai, Luwangsangbam, Imphal East, Imphal, Manipur-795002.
Manipur International University provides its students with a student-friendly, modern campus equipped with all the necessary facilities that would aid both academic and social life. Smart classes, laboratories, library, computer labs, Wifi-equipped rooms for learning, sports, recreation, cultural and extracurricular activities and many other facilities are offered at MIU.
After doing 12th PCB, there are various courses available for pursuing further studies. Some of the popular courses which can be taken after 12th are Biotechnology, Microbiology, Nursing, Allied Health Science, Medical Laboratory Technology, Environmental Science, Psychology, Pharmacy and many others. These courses will provide a lot of opportunities in hospitals, laboratory, pharmaceutical industries, research institutions and healthcare institutes. Students can select a course on the basis of their interests and future career plans.
There are many career paths for students pursuing PCM in engineering and other sciences and technologies. The popular courses that students may join include B.Tech, BCA, Computer Science, Information Technology, Data Science, Artificial Intelligence, Cyber Security, Mathematics, Architecture, and Engineering subjects. These courses provide various opportunities in software development, engineering, robotics, research, telecommunication, and new technologies. The students should choose any one of the courses based on their personal and professional interest.
Yes, MIU focuses on industry based education by including practical learning projects, skill development, and real world applications in its curriculum. This helps students gain the knowledge and experience needed to handle workplace challenges. MIU has industry based education that helps students improve important skills like critical thinking, communication, teamwork, and leadership. By learning about the latest industry trends, students stay updated and become better prepared for future career opportunities.
MIU does encourage research, innovations, and curiosity among their students and faculty. Research allows students to learn more through exploring new areas, solving problems and gaining deeper insights into their respective fields. Innovations enable the students to think out of the box and increase their analytical abilities. Students can increase their knowledge through research activities, conferences and seminars.
Yes, MIU does motivate its students to participate in several co-curricular and extra-curricular activities that will assist them in developing themselves. These activities include several cultural functions, physical games and sports, leadership, seminars, workshops, etc. These activities not only help the students develop their confidence and leadership qualities but also contribute towards their educational development.
The B.Voc in Data Analytics is a three-year undergraduate vocational degree that develops skills in data analysis, statistics, programming, databases, machine learning, data mining, and related technologies.
The program has a duration of 3 years divided into 6 semesters and is offered in regular mode.
Candidates who have completed Class 12 or an equivalent qualification from a recognized board can apply. The provided course information also mentions eligibility for relevant diploma holders.
Graduates can explore roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, Data Engineer, Data Visualization Specialist, Business Analyst, Research Analyst, Marketing Analyst, and Operations Analyst.
According to the provided course information, the total fee is approximately INR 1.5 lakh for three years, with the fee divided into six semesters.








