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D.Voc in Machine Learning & AI from Manipur International University
Imphal, Manipur   ยท  4.9 (2507 reviews)

D.Voc in Machine Learning & AI

Explore the 1-year Diploma in Machine Learning & AI from MIU University covering artificial intelligence, Python programming, data structures, algorithms, R programming and statistics.
Duration
1 Years
Academic Cycle
Semester
Total
2 Semesters
Minimum Qualification
10+2
Language
English
Program Details

Program Overview

What you'll learn and how the program is structured

The Diploma in Machine Learning & AI from MIU University is designed to provide foundational knowledge of artificial intelligence, machine learning, programming, data structures, algorithms, statistics, and data analysis. The program introduces students to essential concepts used in modern intelligent systems and data-driven technologies.

Based on the first two semesters of the B.Voc curriculum, students study subjects such as Basics of Artificial Intelligence and Machine Learning, Object Oriented Programming using Python, Data Structures and Algorithm, Statistical Structure in Data using R, Mathematics, and Statistics. Practical components such as the Python Programming Lab and R Programming Lab help students develop hands-on familiarity with programming and data-related concepts.

The diploma represents the first stage of the B.Voc in Machine Learning & AI pathway. After completing the first year, students can receive a Diploma under the program's multiple entry and exit structure or continue their academic journey toward the Advance Diploma and subsequently the full B.Voc degree.

Duration
1 Years
Mode
Online
Level
Diploma
Language
English
AICTE Approved UGC Approved
Requirements

Eligibility Criteria

Who can apply for this program

Applicants should have completed their 12th grade from an accredited educational board, with an optimal percentage of 50% or higher. The university requires candidates to present essential documents, including academic records and identity proof. Candidates are expected to meet the minimum age requirement of 17 years.

Approvals

Approval Details

Verified approvals and accreditations that confirm this programme's credibility.

MHRD, Government of India and UGC

Academic Structure

Curriculum

Semester-wise structure ยท Academic Cycle: Semester Wise
S 1
Semester 1

The first semester introduces students to the fundamentals of Artificial Intelligence and Machine Learning while building programming and mathematical foundations.

1. Basics of Artificial Intelligence and Machine Learning

Introduces the fundamental concepts, approaches, and applications of AI and Machine Learning.

Key Topics:

  • Artificial Intelligence fundamentals
  • Machine Learning concepts
  • Learning approaches
  • AI applications
  • Basic problem-solving concepts

2. Object Oriented Programming using Python

Introduces Python programming through object-oriented programming concepts.

Key Topics:

  • Python programming
  • Object-oriented concepts
  • Classes and objects
  • Programming logic
  • Application development

3. Python Programming Lab

Provides practical programming experience using Python.

Key Topics:

  • Python coding
  • Programming exercises
  • Object-oriented programming practice
  • Problem solving
  • Program implementation

4. Mathematics-I

Builds the mathematical foundation required for computing and AI-related studies.

5. Language-I

Develops language and communication abilities.

6. English-I

Strengthens fundamental English language and communication skills.

S 2
Semester 2

The second semester develops students' understanding of algorithms, data structures, statistics, and statistical programming using R.

1. Data Structures and Algorithm

Introduces methods for organizing data and designing efficient algorithms.

Key Topics:

  • Data structures
  • Algorithms
  • Data organization
  • Algorithmic problem solving
  • Computational techniques

2. Statistical Structure in Data using R

Introduces statistical analysis of data using the R programming environment.

3. R Programming Lab

Provides hands-on practice in R programming and statistical data analysis.

4. Statistics-I

Develops fundamental statistical concepts useful for data analysis and machine learning.

5. Language-II

Continues language development through the second semester.

6. English-II

Further develops English communication and language skills.

Investment

Fee Structure

Complete fee breakdown for the full program duration
Application Fee
โ‚น100
Certificate Fee
โ‚น3000
LOR/MOI/Bonafide
โ‚น1000
Migration Fee
โ‚น1000
Provisional Fee
โ‚น1000
Total One Time
โ‚น6100
Tution Fee
โ‚น20000
Academic Fees (Per Semester)
โ‚น 20000
Total Academic Fees
โ‚น 40000
Next Steps

Admission Process

Step-by-step application journey

Students can apply for the D.Vocย Machine Learning & AIย 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 D.Voc Machine Learning & AI 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.

Outcomes

Career & Placements

Outcomes, industry association and placement support

The curriculum covers AI, Machine Learning, programming, data science, computer vision, NLP, databases, Big Data, and related technologies. Graduates can explore career opportunities in areas such as:

AI & Machine Learning

  • Machine Learning Engineerย โ€“ Works with machine learning models and applications.
  • AI Engineerย โ€“ Develops AI-based software and solutions.
  • AI Software Developerย โ€“ Builds software incorporating AI capabilities.
  • AI Consultantย โ€“ Supports organizations in applying AI technologies.

Data & Analytics

  • Data Scientistย โ€“ Works with data analysis and predictive models.
  • Data Analystย โ€“ Analyzes data to identify useful patterns and insights.
  • MLOps Engineerย โ€“ Supports the deployment and management of machine learning systems.
  • Big Data Professionalย โ€“ Works with large-scale data processing and analytics.

Specialized AI Roles

  • Computer Vision Engineerย โ€“ Works with image and visual-data applications.
  • NLP Engineerย โ€“ Develops systems involving human language and text processing.
  • AI Researcherย โ€“ Explores AI and machine learning methods.
  • AI Trainer/Annotation Specialistย โ€“ Supports the preparation and annotation of data for AI systems.

Emerging Technology Roles

  • Robotics Engineerย โ€“ Applies AI and computational techniques to robotic systems.
  • AI Product Managerย โ€“ Works on the development and management of AI-focused products.
  • AI Gaming Developerย โ€“ Applies AI concepts to gaming applications.
  • AI in Cybersecurity Analystย โ€“ Explores AI-based approaches for cybersecurity analysis.

ย 

About the Partner

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.

Est.
2019
UGC
Recognized University
Official Partnership with EasyShiksha

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.

Certificate Preview

Manipur International University, Manipur

Sample Certificate

Manipur International University Sample
Paperwork

Documents

Reference documents and application requirements
Good to Know

Frequently Asked Questions

Common questions from prospective applicants
Does UGC Recognize Manipur International University (MIU)?

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

Why should students opt for Manipur International University?

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.

What is the location of Manipur International University?

Manipur International University is located at MIU Palace, Luwangsangbam Makha Leikai, Luwangsangbam, Imphal East, Imphal, Manipur-795002.

Which Campus facilities are provided at MIU?

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.

What are the best career options after 12th PCB?

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.

What are the most suitable careers after completing 12th PCM?

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.

Does MIU offer industry-oriented education?

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.

Does MIU focus on research and innovation?

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.

Are there extracurricular activities and events at MIU?

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.

How many Certification programmes are listed for Manipur International University?

The programme information lists 71 Certification programmes under the Certification category.

What is the typical duration of a B.Voc programme?

A B.Voc programme typically has a duration of three years, with Class 12 or an equivalent qualification generally serving as the entry point.

Can students pursue an M.Voc after completing a B.Voc?

Yes. A B.Voc can provide a foundation for further education, including M.Voc, which allows learners to pursue advanced specialisation in a vocational field.

What kind of learning components can a D.Voc programme include?

Depending on the curriculum, D.Voc programmes may include practical training, projects, workshops, and other occupational learning components focused on applied and skill-based education.

Which specialisations can be available in MBA programmes?

MBA programmes may be offered with specialisations such as Finance, Marketing, Human Resource Management, International Business, Operations Management, Business Analytics, Entrepreneurship, Healthcare Management, and Information Technology Management, depending on the university and programme.

What areas can students study in a B.Lib programme?

A B.Lib programme can introduce students to areas such as library administration, cataloguing, classification, documentation, reference services, information retrieval, library automation, and digital information management.

What is a Diploma in Machine Learning & AI?

A Diploma in Machine Learning & AI is a foundational program that introduces students to artificial intelligence, machine learning, Python programming, data structures, algorithms, statistics, and data analysis.

What is the duration of the Diploma in Machine Learning & AI?

The diploma corresponds to the first year of the B.Voc in Machine Learning & AI program, covering two semesters.

What subjects are covered in the Diploma in Machine Learning & AI?

Important subjects include Basics of Artificial Intelligence and Machine Learning, Object Oriented Programming using Python, Data Structures and Algorithm, Statistical Structure in Data using R, Mathematics, and Statistics.

Are practical subjects included in the diploma?

Yes. The first-year curriculum includes practical learning through the Python Programming Lab and R Programming Lab.

Can students continue their studies after completing the diploma?

Yes. Students can continue to the second year of the program to pursue the Advance Diploma in Machine Learning & AI, subject to the applicable academic progression requirements.

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