RiseUpp Logo
Educator Logo

Online Diploma in Machine Learning with Python and R

The Online Diploma in Machine Learning with Python and R from Mangalayatan University provides comprehensive education in machine learning fundamentals and practical applications. This UGC-approved program covers both theoretical concepts and hands-on experience with Python and R programming languages. Students learn data analysis, model building, problem-solving, system design, and software engineering through a structured two-semester curriculum. The program prepares graduates for various data science and machine learning roles while offering flexible online learning.

Instructors:

Kulsoom Siddiqui

Kulsoom Siddiqui

Dr. Niyati Sharma

Dr. Niyati Sharma

English

Powered by

Provider Logo
Degree Course Image
  • Course Start Date:

    Starting Soon

  • Application Deadline:

    Closing Soon

  • Duration:

    1 Year

21,000

Overview

The Online Diploma in Machine Learning with Python and R is a one-year UGC-approved program that provides students with comprehensive training in machine learning technologies. The curriculum combines fundamental programming concepts with advanced machine learning techniques using both Python and R languages. Students develop expertise in data analysis, model building, and problem-solving while gaining practical experience through laboratory sessions. The program is delivered through a flexible online format suitable for aspiring data scientists and professionals.

Why Technology & Analytics?

This program offers NAAC A+ graded education with AICTE accreditation from Mangalayatan University, an institution with 20 years of excellence in higher education. Students benefit from a comprehensive curriculum that covers both core programming principles and specialized machine learning knowledge. The flexible online format allows students to study at their own pace while receiving support from expert faculty. The program prepares graduates for leadership positions in data science and analytics industries.

What does this course have to offer?

Key Highlights

  • UGC Entitled and AICTE Accredited

  • NAAC A+ Graded Institution

  • Comprehensive machine learning curriculum

  • Dual programming languages: Python and R

  • Hands-on laboratory sessions

  • Flexible online learning format

  • Affordable fee structure

  • Placement support available

  • Expert faculty guidance

Who is this programme for?

  • Students who have completed 10+2 from recognized board

  • Individuals interested in machine learning and data science

  • Professionals seeking data analytics skills

  • Career changers entering technology field

  • Students wanting to learn Python and R programming

Minimum Eligibility

  • Completed 10+2 education from recognized board

  • 45% aggregate in Higher Secondary

Who is the programme for?

The program follows a semester-based structure with rolling admissions throughout the year. Students must complete 40 credits across two semesters to earn the diploma. The curriculum includes core programming subjects, machine learning applications, practical laboratory sessions, and assessments designed to evaluate both theoretical understanding and practical implementation skills.

How to apply?

Curriculum

The curriculum spans two semesters covering fundamental to advanced machine learning concepts with Python and R. Semester 1 establishes programming foundations with C language, mathematics, financial accounting, and business communication along with computer fundamentals. Semester 2 advances into specialized areas including system analysis, C++ and data structures, software engineering, R programming, and machine learning using Python. Laboratory sessions provide hands-on experience.

There are 2 semesters in this course

The two-semester program offers comprehensive coverage of machine learning technologies. First semester introduces Management Information System, Problem Solving Using C with lab, Mathematics, Financial Accounting, English Communication, and Computer Fundamentals and Office Automation. Second semester progresses to System Analysis and Design, C++ and Data Structure with lab, Software Engineering, Soft Computing, R Programming, and Machine Learning Using Python. Students complete 40 credits through theoretical coursework and practical laboratory work, building strong foundations in both programming languages and machine learning algorithms for real-world applications.

Semester 1

Semester 2

Programme Length

The program duration is one year, divided into two semesters. The flexible online format allows students to complete the diploma at their own pace, making it accessible for working professionals and students with other commitments while maintaining academic rigor.

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

Kulsoom Siddiqui

Kulsoom Siddiqui

Assistant Professor

MBA, Ph. D in Management

Dr. Niyati Sharma

Dr. Niyati Sharma

Assistant Professor

Tuition Fee

The total program fee is ₹21,000 including all charges. The fee structure comprises ₹9,000 per semester as course fee, ₹1,000 per semester as exam fee, ₹20,000 as annual fee, and ₹1,000 as one-time registration fee. This affordable pricing structure makes quality machine learning education accessible to students from diverse economic backgrounds.

Fee Structure

Payment options

Financial Aid

Learning Experience

Students experience flexible online learning with access to recorded lectures, learning management system, and comprehensive student support services. The program includes 112 hours of instruction delivered through digital platforms. Students engage with course materials, complete assignments, and participate in laboratory sessions while studying at their own pace. Expert faculty with extensive industry experience provide guidance throughout the learning journey.

University Experience

Mangalayatan University, established in 2006, is a leading institution in India's higher education landscape with commitment to quality education and academic excellence. Students benefit from a NAAC A+ graded institution with AICTE accreditation and AIU membership. The university provides placement support, mock exams, scholarship opportunities, and comprehensive student support services to ensure student success.

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.

Loading alumni...

About the University

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

UGC

AICTE

AICTE

NAAC

NAAC

BCI

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

Kulsoom Siddiqui

Kulsoom Siddiqui

Assistant Professor

MBA, Ph. D in Management

Dr. Niyati Sharma

Dr. Niyati Sharma

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

recruiter-0recruiter-1recruiter-2recruiter-3recruiter-4recruiter-5recruiter-6recruiter-7
Degree Course Image
  • 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.