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Online PGCP-DSML

PGCP in Data Science & Machine Learning (PGCP-DSML)

NAAC A++ accredited
Download Brochure
Duration 9 months
Work Experience No experience required
Fee (All inclusive) USD 1500
Last Date
Batch Closed

Manipal Institute of Technology’s (MIT) Postgraduate Certificate Program in Data Science & Machine Learning helps learners master trending data science & machine learning tools & techniques such as python programming, database management & SQL, statistical technique for data science, EDA & feature engineering, and data visualization. This comprehensive 9-month program provides learners with hands-on experience through 7 intensive micro projects & 2 capstone projects, along with mentoring sessions for the micro projects.

Rankings & accreditations

Rank 1
Karnataka's Top Private Engineering Colleges
Karnataka's Top Private Engineering Colleges
Rank 2
South India's Top Private Engineering Colleges
South India's Top Private Engineering Colleges
Rank 6
India's Top Private Engineering Colleges
India's Top Private Engineering Colleges

Program benefits

Lucrative career in data science
Lucrative career in data science

Become an accomplished data science professional by acquiring essential skills and knowledge from world-class faculty. Break into high-paying jobs across sectors and stand out in today’s data-driven world. 

Master key data science and ML concepts
Master key data science and ML concepts

Gain expertise in data visualization, coding, statistics, and data analysis by learning core data science and machine learning subjects like statistical techniques for data science, machine learning & neural Networks, artificial intelligence, python programming, and SQL. 

Enjoy placement guarantee/ assistance
Enjoy placement guarantee/ assistance

Make the most of the career support guarantee/ assistance programs and increase your employability quotient. Utilize the career support training sessions for enhancing your aptitude, building your resume, LinkedIn profile, and more. 

Prestigious MAHE alumni status
Prestigious MAHE alumni status

Understand and exchange industry best practices with a network of peers, faculty members, domain leaders, industry experts & professionals through discussion forums & webinars. Build a strong professional network by getting access to Manipal Academy of Higher Education’s 1 million strong alumni network. 

Fully online experience
Fully online experience

Benefit from a 100% online experience with zero compromise on quality through online enrollment, orientation, classes, assignments, projects, examinations, and career support. Get assistance from dedicated course mentors and 24×7 student support. 

Job roles to explore

Our online Post Graduate Certificate Program in Data Science and Machine Learning program equips you with the necessary skills and knowledge needed to establish a lucrative career in diverse job roles.

  • job-rolesBusiness Intelligence Expert
  • job-rolesData Analyst
  • job-rolesData Architect
  • job-rolesData Scientist
  • job-rolesPredictive Modeler
  • job-rolesMachine Learning Scientist
  • job-rolesArtificial Intelligence Developer
  • job-rolesML Solution Architect
  • job-rolesPower BI Expert
  • job-rolesRobotics Operations Manager
  • Aerospace
  • Biotechnology
  • Forensic
  • Gaming
  • Media
  • Pharmaceuticals
  • EdTech
  • FinTech
  • Manufacturing

Program curriculum

9 months

Introductory Module

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Self-Paced Learning

Module 1

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Python Programming

Module 2

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Database Management & SQL.

Introduction to SQL

Installation in SQL

DDL and DML Statements

Databases and Tables

Aggregate Functions

Joins and Set Operations

Sub-Queries, Operators and Derived Tables in SQL

Stored Procedures and Triggers in SQL

Micro Project 2

Module 3

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Statistical Techniques for Data Science.

Introduction to Statistics and Linear Algebra

Probability

Sampling & Estimation

Testing of Hypothesis

Micro Project 3

Module 4

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EDA & Feature Engineering.

Introduction to Exploratory Data Analysis

Uni, Bi & Multi variate Analysis

Missing & Outliers treatment

Scaling & Encoding techniques

Feature Engineering

Micro Project 4

Module 5

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Data Visualization & Business Intelligence.

Introduction to Exploratory Data Analysis

Business Problem Solving

Visualization Principles

Basic Plots

Advanced Plots

Dashboard Creation

Storytelling through Dashboard

Micro Project 5

Module 6

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Machine Learning -1.

Introduction to Machine Learning

Regression

Classification

Clustering

Micro Project 6

Micro Project 7 on Classification

Module 7

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Integrated Capstone Project.

Module 8

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Tools & packages covered

Additional tools & certifications

Make the most of the free Coursera access and choose from over 10,000+ professional certifications and courses from leading global universities while completing your degree.

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  • university_icon
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  • DomainData Analysis
  • DomainMachine Learning
  • DomainSoftware Development
  • DomainCloud Computing
  • DomainData Management
  • DomainMobile and Web Development
  • DomainComputer Science
  • DomainInformation Technology
  • Microsoft Azure
  • Regression Models
  • Deep Learning
  • Artificial Intelligence (AI)
  • Machine Learning
  • Python Programming
  • MySQL
  • Devops

Course fee

FULL COURSE FEE

USD 1500

Inclusive of all taxes
Who can apply
Educational qualification
Educational qualification

Candidates must have completed graduation from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree.

Grades
Grades

Candidates must have minimum 50% marks in aggregate in graduation.

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

Admission process

Get Started
1

Choose a program & register

Choose the program you want to pursue & register by filling in your basic details and paying the application fee.  

2

Choose placement guarantee/ assistance 

Choose from either placement guarantee or placement assistance. Eligible candidates who opt for placement guarantee are required to clear a written test and an interview.

3

Provide education & work details

Fill in your educational & work experience-related details.  

4

Pay program fee

Pay the program fee and proceed with the application process.

5

Upload documents & submit application

Upload supporting documents & submit your application to complete the process.

Meet your faculty

Chandrika R Bhargava
Chandrika R Bhargava Senior Director- Tech & Data Science
Mallikarjuna Doddamane
Mallikarjuna Doddamane Principal - Data Science
Swarnalatha Devarakonda
Swarnalatha Devarakonda Director - Emerging Technology
Adarsha Akhandeshwara
Adarsha Akhandeshwara Lead SME - Data Science
Alok Chakravarty
Alok Chakravarty Lead SME - Data Science
Mayukh Ghosh
Mayukh Ghosh Lead SME - Data Science
Akshatha Lakshmi
Akshatha Lakshmi SME - Data Science, UNext
Nithyalakshmi M
Nithyalakshmi M SME - Data Science, UNext
Bhagyashree. C
Bhagyashree. C SME - Emerging Tech
Arib Nawal
Arib Nawal Associate - Data Science
Karthik Anand
Karthik Anand Associate - Data Science
Shwetha G N
Shwetha G N SME - Emerging Tech
Vinod Krishna CK
Vinod Krishna CK SME – Data science
Chandrika R Bhargava Senior Director- Tech & Data Science

Chandrika R Bhargava, currently serving as Director - Tech & Data Science, possesses over 22 years of expertise in IT, education, and training. As a certified Automation Anywhere trainer and RPA professional, she specializes in data analytics, artificial intelligence, and machine learning. With a PMP certification and a background in BPM, Oracle, and SAP middleware, Chandrika has excelled in technical and functional domains, notably at Infosys Limited. Her extensive experience in Retail Supply chain, Telecom, and Auto sectors showcases a versatile skill set. Chandrika is recognized for her role in designing technology-based training programs to meet diverse business requirements.

Mallikarjuna Doddamane Principal - Data Science

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.

Swarnalatha Devarakonda Director - Emerging Technology

Swarnalatha Devarakonda, a technology enthusiast with 25 years of IT industry experience, excels in providing robust cloud solutions (AWS, Azure, Google) and Java full-stack training. Her expertise spans multi-cloud environments, microservices, Spring Boot Architecture, and DevOps technologies. Swarna has hands-on experience with AWS services like EKS, Redshift, and Data LakeFormation, as well as Azure services including SQL, Synapse, and Data Factory. Additionally, she has contributed to publications and achievements, including delivering webinars for NASSCOM and Techg, showcasing her proficiency in handling high-profile virtual training sessions and managing large client accounts in Cloud Computing.

Adarsha Akhandeshwara Lead SME - Data Science

Adarsha is a seasoned trainer with over 12 years of expertise in data analysis, AI, machine learning, predictive modeling, and NLP. Proficient in Python, he excels in data modeling, AI/ML, NLP, text analytics, deep learning, Pytorch, and Spark-NLP. Adarsha has conducted corporate trainings for renowned clients like Mercedes Benz R&D, Hitachi R&D, and GE Global Research. Holding a B.E. degree from SIT Tumkur, he received accolades, including the Best Employee Award in 2015 at Magical Imagination and client appreciation at GE Global Research. Adarsha's notable achievements include designing a Recommendation Engine for Tillster.

Alok Chakravarty Lead SME - Data Science

Alok Chakravarty is a seasoned professional with over 18 years of extensive experience in IT and academia. Proficient in data modeling, statistics, machine learning, and data visualization, Alok has conducted workshops and training sessions for prominent enterprises such as Siemens, Wipro, and IBM. With a solid educational background, including an M.Tech from IIT Kanpur, Alok holds certifications in Dataiku Core Designer, Machine Learning Using Python, and Statistics Using Excel. Noteworthy achievements include serving on the Board of Studies at Garden City University and as a Board of Examiners at Jain University and ISME. Alok has also contributed to publications and conducted workshops at esteemed institutions.

Mayukh Ghosh Lead SME - Data Science

Mayukh Ghosh, a seasoned Data Science Practitioner with a decade of industry experience, is a prominent trainer and mentor with over 8 years of core training expertise. Proficient in R, SAS, Python, and Statistics, he has successfully delivered analytics training to corporate clients like WNS, McAfee, and Coca Cola. As the Director of the IPBA program by IIM Indore and Jigsaw Academy, Mayukh has showcased leadership in the education sector. His role as Lead SME at UNext Learning involves overseeing Data Science and Machine Learning. With qualifications in Machine Learning from IIT Tirupati, Mayukh has trained and mentored over 500 participants and contributed as a feature writer for Yahoo and TOI Blogs.

Akshatha Lakshmi SME - Data Science, UNext

Akshatha possesses over 9 years of professional experience and has great expertise in python, MATLAB, data analytics, aata 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.

Nithyalakshmi M SME - Data Science, UNext

Nithyalakshmi M, with an exhaustive 14+ years of experience, excels in teaching Python with Data Science, Machine Learning, R Programming, and Statistics. Proficient in data and quantitative analysis, she possesses expertise in predictive modeling, data-driven personalization, and various data mining tools. Nithyalakshmi has conducted numerous corporate and postgraduate program trainings for clients such as Deloitte, Bajaj FinServ, and Axis Bank. Currently pursuing an MBA in Data Analytics, she holds an M.Phil. in Mathematics and has earned multiple certifications, including Machine Learning with Python and Statistics with Python from Coursera. Nithyalakshmi's achievements include being a Silver Medallist in M.Sc. Mathematics and earning the 3rd rank.

Bhagyashree. C SME - Emerging Tech

Bhagyashree. C, a seasoned trainer with 17+ years of experience, specializes in programming languages such as C, C++, Java, and diverse technologies like Spring, Hibernate, and Spring Boot. Her expertise extends to developing RESTful applications, Microservices, and front-end applications using HTML, CSS, and JavaScript. With a background in Embedded Systems (M.Tech) and Electronics and Communication (B.E), Bhagyashree has delivered comprehensive training for enterprises like MoveInSync, LG, and Zap Infotech. Her skills cover SQL, PL/SQL, and distributed version control using GIT. As a certified SCJP 6.0 programmer, she brings a wealth of knowledge and practical experience to her training endeavors.

Arib Nawal Associate - Data Science

Arib Nawal, with 5 years of expertise, excels in delivering corporate and industry-level training on Python, Data Science, Machine Learning, and Cloud Computing. Proficient in a wide array of technical skills, including Python programming, Data Modeling, and AI, Arib has collaborated with notable enterprises such as Tata Power, ICICI Bank, and Hewlett Packard. A recent graduate with a BE in E&TC, Arib holds certifications in Microsoft Azure fundamentals, Azure AI fundamentals, and Power BI Data Analyst Associate. His training experience spans sectors like Fractal AI, Deloitte, and Shell, showcasing a versatile skill set and a commitment to staying at the forefront of technology.

Karthik Anand Associate - Data Science

Karthik Anand, a seasoned trainer with a decade of experience, specializes in data modeling, statistics, and machine learning. Proficient in EDA, SQL, and Python, he has delivered training for notable enterprises such as Aditya Birla Group, Manipal Hospitals, and Deloitte. Currently pursuing a Ph.D. at Visvesvaraya Technological University, Karthik holds an M.Tech in Thermal Power and a BE in Automobile Engineering. Certified as a Data Scientist, he has published over 15 research papers in international journals, showcasing his commitment to advancing knowledge. Karthik's expertise lies in data analytics, exploratory data analysis, and data visualization, making him a valuable asset in the field.

Shwetha G N SME - Emerging Tech

Shwetha G N, with over 11 years of teaching experience in Computer Science and Applications, is a proficient trainer in Java, Python (specifically in Data Science and Web frameworks like Flask and FastAPI), HTML, CSS, JavaScript, SQL, and Power BI. Actively engaged in professional development through conferences and research activities, she has conducted workshops for faculty and students, partnering with enterprises like Axis Bank, Capgemini, and MathCo. Shwetha holds a Master of Computer Applications degree and has contributed to NPTEL's courses on Python and Data Science. Her research papers on topics like Underwater Image Enhancement and Smart Home Automation reflect her expertise and innovative contributions.

Vinod Krishna CK SME – Data science

Vinod Krishna CK, with over 10 years of experience, has contributed significantly to projects in Banking AML and telecom with IBM and HCL. As a skilled trainer and educator, he imparts knowledge in Data Science tools like SAS, R, Python, Tableau, Power BI, and Advanced Microsoft Excel at Mount Carmel College Bangalore. Proficient in SAS (Base, Advance, Analytics), R, Python, and visualization tools, Vinod has collaborated with industry giants such as IBM, Loreal, DXC Technologies, and HDFC ERGO. His achievements include successful project migrations from Tableau to Power BI, code replication across languages, and automation of reporting with interactive dashboards using Data Science tools.

Learner experience

  • testimonial

    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.

    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
    PGCP in DSML
    Read More
  • testimonial

    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.

    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
    PGCP in DSML
    Read More
  • testimonial

    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.

    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.

    Swapnil
    PGCP in DSML
    Read More
Career support services
Resume and Linkedln profile building workshops

Resume building

Create impactful resumes with the help of our advanced placement portal and increase your chances of securing interviews for relevant job roles.
Access to Alumni during and after the program

Alumni interactions during & after program

Interact with alumni and receive industry insights and career guidance during and after the program.
Industry-readiness sessions to make you job ready

Industry-readiness sessions

Familiarize yourself with industry trends, organizational expectations, and recruiter behaviour. Get equipped with the relevant skills and become job ready.
Interview preparation

Interview preparation

Ace interviews by acquiring valuable skills, accessing interview tips, and practicing through mock interviews.
Employability skill assessment and enhancement

Employability skill assessment & enhancement

Identify your strengths & weaknesses through skill assessments and build competencies to improve your employability quotient.

Frequently asked questions

What is a PGCP in Data science and Machine Learning program?

The Postgraduate Certificate Program in Data Science and Machine Learning is a 9-month course that helps students acquire knowledge of in-demand data science & machine learning tools & techniques such as python programming, database management & SQL, statistical technique for data science, and data visualization and prepare them for high-paying job roles in the highly popular data science domain.

What is the duration of the program?

The duration of the online PG Certificate Program in Data Science and Machine Learning is 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.

Who will provide this certificate?

Students who have completed the course successfully will be awarded the certificate from the Manipal Institute of Technology.

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.

Who is eligible for a placement guarantee?

A student is eligible for placement guarantee, only if the student fulfills the following conditions:

Candidates who have graduated with a maximum gap of 2 years before joining the program and have work experience of maximum 2 years with a graduation score of 60% or more.
Candidates who have graduated with a maximum gap of 3 years before joining the program need to possess work experience for a minimum of one year with a graduation score of 60% or more.

Note: Learners who do not fall under the criteria mentioned above are eligible for admission with placement assistance only and not for placement guarantee facility.

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.

What is the application process for this program?

The application process is completely online, and applications can be submitted at www.onlinemanipal.com by providing the required details. If you need further assistance, then you can reach out to our admission counsellor at +91-9019-997-000 and they will assist you with the application process.

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.

How is the program delivered?

This program is delivered in a 100% online mode so that students can attend live classes remotely, while also pursuing their professional and personal commitments in parallel.

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.
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