+91-8805 149 972 Enroll Now

Programme benefits

Here’s what you can expect from our programme

Master Statistical Techniques of Data Science and Machine Learning Operations (MLOps) and acquire in-depth knowledge of Artificial Intelligence, Machine Learning, and Neural Networks that are essential for the creation of Intelligent Machines. Learn and use Python for Data Science, and solve real-world business problems using Data Visualization and Power BI.

Learn from Data Science and Machine Learning experts who are vastly experienced and attend career and domain-oriented online sessions by industry experts.

Gain practical experience through 7 intensive micro projects & 2 capstone projects, case studies, and assessment-based learning. Mentoring sessions are available for micro projects.

Receive career assistance upon successful completion of the program. Utilize our career assistance sessions for enhancing your aptitude, building your resume, attending mock interviews, and more.

What you will learn

    Send OTP

    OTP verifiedInvalid OTP

    Want to know more? DOWNLOAD BROCHURE

    0 Module

    Self-Paced Learning
    Microsoft Excel Advanced

    1 Module

    Python Programming
    1. Basics of Python Language
    2. Python Core Data Structures
    3. Functions, Modules and Object-Oriented Programming
    4. Exception Handling, FILE Input/Output
    5. NumPy
    6. Introduction to Pandas, Operation in Pandas - Part 1
    7. Operation in Pandas - Part 2
    8. Micro Project 1

    2 Module

    Data Base Management & SQL
    1. Introduction to SQL
    2. Installation in SQL
    3. DDL and DML Statements
    4. Databases and Tables
    5. Aggregate Functions
    6. Joins and Set Operations
    7. Sub-Queries, Operators and Derived Tables in SQL
    8. Stored Procedures and Triggers in SQL
    9. Micro Project 2

    3 Module

    Statistical Techniques for Data Science
    1. Introduction to Statistics and Linear Algebra
    2. Probability
    3. Sampling & Estimation
    4. Testing of Hypothesis
    5. Micro Project 3

    4 Module

    EDA & Feature Engineering
    1. Introduction to Exploratory Data Analysis
    2. Uni, Bi & Multi variate Analysis
    3. Missing & Outliers treatment
    4. Scaling & Encoding techniques
    5. Feature Engineering
    6. Micro Project 4

    5 Module

    Data Visualization & Business Intelligence
    1. Business Problem Solving
    2. Visualization Principles
    3. Basic Plots
    4. Advanced Plots
    5. Dashboard Creation
    6. Storytelling through Dashboard
    7. Micro Project 5

    6 Module

    Machine Learning -1
    1. Introduction to Machine Learning
    2. Regression
    3. Classification
    4. Clustering
    5. Micro Project 6
    6. Micro Project 7 on Classification

    7 Module

    Integrated Capstone Project

    8 Module

    Note: Students can choose any 1 elective from the below
    Elective 1: Neural Networks – Level 1Elective 2: Data Engineering – Level 1
    1. Programming with Tensorflow 1. Introduction to Data Engineering
    2. Open CV and Convolution Neural Network 2. Big Data and PySpark
    3. Natural Language Processing 3. Hive
    4. Recurrent Neural Network 4. Kafka
    5. Recommendation System 5. MongoDB
    6. MLOps 6. Cloud – AWS (Introduction)
    7. Capstone Project 2 7. MLOps
    8. Capstone Project 2

    Empowering you to

    Master industry-relevant Data Science and Machine Learning tools like Advanced Excel Operations, Power BI, and Python

    Master in-demand packages like NumPy, Pandas, and Matplotlib

    Acquire key competencies like Data Analysis, Machine Learning Operations, and Big Data

    Get hands-on learning experience by working on 7 intensive micro projects

    Become job-ready with a mentor-driven placement guarantee program

    Data Scientist

    Machine Learning Engineer

    Machine Learning Scientist

    Data Analyst

    ML Research Engineer

    ML Solution Architect

    Data Engineer

    Data Architect

    Power BI Expert

    Business Intelligence Expert

    Placement Guarantee/ Assistance upon successful completion of the program

    Certification from Manipal Institute of Technology (MIT)

    7 micro projects and 2 capstone projects for a complete hands-on learning experience

    Two-way instructor-led live interactive online sessions for 9 months (weekend batches)

    Refresher session at the end of four units

    Who can apply?

    Learners are eligible to apply if they are-

    • Graduates with a minimum of 50% marks from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree

    This program is most suited for-

    • Candidates looking to gain expertise in Data Science and Machine Learning concepts

    Tools covered

    Packages covered

    Meet our faculty

    • Dr. Chetana Hegde

      Principal - Data Science, UNext

    • Gaurav Vohra

      Chief Business Officer, UNext

    • Sarita Digumarti

      Chief Learning Officer, UNext

    • Siddharth Pant - Data Science, UNext

      Senior Director - Data Science, UNext

    • Mallikarjuna Doddamane

      Senior SME - Data Science, UNext

    • Akshatha Lakshmi

      SME - Data Science, UNext

    • Dr. Suman Katragadda

      Analytics Thought Leader

    • Dr. Yadu Singh

      Principal - Data Science, UNext

    • Vandana Kakkar

      SME - Data Science, UNext

    • Dr. K Sailaja Kumar

      Senior SME – Data Science, UNext

    • Naga Brahmam Yekkali

      Principal – Big Data Engineering, UNext

    Dr. Chetana Hegde

    Principal - Data Science, UNext

    Dr. Chetana Hegde is a Ph.D. scholar in Computer Science (Biometrics Authentication using Image Processing) & an educator with over 18 years of experience in technical education. She has published 30+ research articles in international journals & presented them at conferences like IEEE, AC, Springer Verlag & Elsevier.

    Gaurav Vohra

    Chief Business Officer, UNext

    Gaurav Vohra is a graduate from IIM Bangalore and has over 18 years of experience in the field of Analytics. He has worked across multiple verticals, including Financial Services, Retail, FMCG, Telecom, Pharmaceuticals, and Leisure industries. He previously led companies like Capital One Financial Corporation, GE Capital, Symphony Marketing Solutions, and Genpact LLC. Gaurav co-founded Jigsaw Academy in 2011 to aid freshers and young professionals to upskill, stay relevant, and get noticed. As the Chief Business Officer at UNext, he is instrumental in building a strong EdTech brand in the emerging technologies space. He has been rated as one of the "Top Analytics Academicians in India" by the Analytics India Magazine.

    Sarita Digumarti

    Chief Learning Officer, UNext

    Sarita has more than 18 years of extensive analytics and consulting experience across diverse domains such as retail, healthcare, and financial services. She has been honored with the Global Achiever's Award for Educational Leadership by Economic Development in 2013 for her professional excellence. She has also featured among the top 10 most riveting data scientists of 2021 by Analytics Insight. Sarita is also an educator who focuses on offering quality education in analytics backed by application-oriented learning & training.

    Siddharth Pant - Data Science, UNext

    Senior Director - Data Science, UNext

    Siddharth Pant is a thought leader with more than 23 years of experience in Business transformation, Analytics & Technology. He has previously worked with leading corporates like Infosys, Oracle, Fractal, ANZ Grindlays (StanChart), and Star Union Dai-ichi life insurance in various leadership roles. He is also an experienced visiting faculty who teaches Analytics for various MBA/post-graduate courses. Siddharth believes that modern, skill-oriented, and industry-aligned education is the best way to increase employability

    Mallikarjuna Doddamane

    Senior SME - Data Science, UNext

    Mallikarjuna is an experienced professional who trains students in various aspects of Operations Management and Data Science. He also has vast expertise in statistical modeling and banking analytics. With over 18 years of academic experience in teaching and training, he enjoys training in Data Science and Machine Learning education.

    Akshatha Lakshmi

    SME - Data Science, UNext

    Akshatha possesses over 9 years of professional experience and has great expertise in Python, MATLAB, Data Analytics, Data Visualization, Tableau, Machine Learning (ML) & Signal Processing. She is highly passionate about Data Science & ML and holds several course certifications & Permit for Electrical Supervisor Grade B granted by Kerala State Electricity Licensing Board. Currently, Akshatha works as a SME - Data Science at UNext.

    Dr. Suman Katragadda

    Analytics Thought Leader

    Dr. Suman Katragadda is the Founder and CEO of K-Arogia, a smart healthcare network. Suman is an Analytics advisor and holds consulting experience in the healthcare industry. He has a doctorate degree in Statistics and has contributed immensely to companies like PwC and Express Scripts.

    Dr. Yadu Singh

    Principal - Data Science, UNext

    Dr. Yadu Singh has more than 24 years of experience in the IT Domain. He is an expert in Predictive Analytics, Machine Learning, Artificial intelligence, Data Science & Deep Learning. With his exceptional knowledge in MongoDB, Cassandra, Server Technologies, Map Reduce, Data Analytics, Business Analytics, and Statistical Analysis (inferential & Discrete), Dr.Singh has aligned IT with strategy, designed and driven large and complex business-IT solutions, and translated complex business requirements into innovative technology solutions to clients. He has also received the 'Young Scientist Award' from DST - Gov. of India.

    Vandana Kakkar

    SME - Data Science, UNext

    Vandana has over 11 years of training experience in Data modeling, Data Science, Python programming, Python with Data Science, Python with Machine Learning, Deep Learning, R Programming, and Data Visualisations. She has worked across various domains such as BFSI, Retail, and Healthcare, with big corporates like Bank of America, Mastercard, WNS, and Deutsche Bank

    Dr. K Sailaja Kumar

    Senior SME – Data Science, UNext

    Dr. K Sailaja Kumar is an accomplished professional with over 23 years of experience in academics. She has expertise in Machine Learning, Programming, Data Structures, Big Data, Cloud Computing, Mobile Application Development, Data Analytics, Data Mining, Data Modeling, Data Interpretation, Feasibility Analysis, Correlation / Regression Analysis, BI Tools, Statistical Data Analysis, and Data Visualization. Sailaja has 22 research publications in various peer-reviewed journals to her name.

    Naga Brahmam Yekkali

    Principal – Big Data Engineering, UNext

    Naga Brahmam is a Certified Solution Architect, Trainer, and Consultant with over 20 years of professional experience. He has previously worked as a Trainer for Walmart Labs, Oracle, Deloitte, and as a Solution Architect for Alcatel Lucent, Mercedes Benz, CTS, and Aricent. He imparts highly technical knowledge in an easy-to-understand manner to all levels of the IT workforce. His areas of expertise include Big Data, Kafka, Azure, AWS, GCP, MLOps, DevOps, NoSQL & Elastic Search.

    Hear from our learners

    • quote

      As a JS developer I was making a modest salary in a stagnant role and I wasn't excited about my prospects. But this course has helped in my career advancement

      Venkata Ravindranath
    • quote

      This program is amazing for those candidates who want a career transition or who are looking to start their career in the field of analytics. It's best to focus on the curriculum they made, and if you follow it strictly you will definitely have a good job just the way I did.

    • quote

      This course is the best option for someone who wants to pursue a career in Data Analytics. It's a good course with a highly experienced teaching faculty.

      Akalya Subramanian

    Frequently Asked Questions

    What is the selection process for the Career Assisted PG Certificate Program in Data Science and Machine Learning?

    Interested candidates will have to fill up an online application form. Those who match the eligibility criteria will receive the Provisional Admissions Letter. After that, they have to pay the program fees to complete the enrolment process.


    What is the duration of the program?

    This PG Certificate Program in Data Science and Machine Learning is spread over 9 months.

    In what locations can we attend the course?

    The PG Certificate Program in Data Science and Machine Learning is an online instructor-led program that can be accessed from anywhere.

    Is there any industry partnership?

    Yes, we have industry experts and corporate partners who play an active role in designing the program curriculum, learning interventions, internships, and placements.

    What are the sections included in the admission test?

    The admission test will be based on the following:

    • Verbal Ability
    • Thinking Skills
    • Programming Ability
    • Technical Ability
    • Coding Assessment

    You will get a total of 60 minutes to complete the Verbal Ability, Thinking Skills, Programming Ability & Technical Ability sections and 60 minutes to complete the Coding Assessment section.

    If I choose to withdraw my application for admission, will I get a total fee refund?

    Refunds will be processed according to our Refund policy.

    What are the tools and packages will I learn in this course?

    In this online placement guaranteed* program, you will master tools such as Python, Power BI, Big Data Tools (Pyspark, Hive and more), SQL, Microsoft Advanced Excel. Additionally, the program also covers packages like NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, and Keras.


    How many capstone projects will I get to work on during the Data Science and Machine Learning course?

    During the 9-month online PG Certificate Program In Data Science and Machine Learning, a learner will work on 2 Capstone Projects. The first one will be the “Integrated Capstone Project” (Module 7 – 16 hours). The second one will be an “Elective Capstone Project” (Module 8 – 12 hours) where the learner will have to choose between Neural Networks or Data Engineering.

    Will there be assessments and grading?

    Yes, there will be assessments, scores and grading for the courses conducted.

    When and how will the online assessments be conducted?

    The assessments will be conducted as follows:

    The details regarding the test login credentials and the instructions for taking the tests will be communicated to the applicants via mail within a few days of receiving the completed application form. The applicants can take the tests at their locations as per their time convenience within the specified test window duration.

    What is the application fee for this program?

    The application fee for this program is $20.

    What is the eligibility criteria for the PG Certificate Program in Data Science and Machine Learning?

    Candidates who’ve graduated with 50% and above marks from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree can apply.

    Note: Since the program starts from scratch and aims at helping the participants to get in-depth understanding of the subjects, coding experience is not mandatory.

    MSc Data Science MAHE
    Please wait while your application is being created.