Certification after course completion
Through 2 Capstone Projects & 7 Intensive Micro Projects
After successful completion of the course
9 Months Live Online Sessions
Manipal Institute of Technology (MIT) has curated a competitive curriculum that will enable aspirants to become proficient professionals by mastering trending Data Science & Machine Learning tools and techniques through the rigorous 9 months online program. The exhaustive curriculum of this Postgraduate Certificate program is designed to help learners master Python Programming, Database Management and SQL, Statistical Technique for Data Science, EDA & Feature Engineering, Data Visualization, Business Intelligence, Machine Learning, Neural Networks, CNN, RNN, Recommendation Systems, Big Data, Cloud (AWS) & MLOps, and implement Machine Learning techniques using tools like Python, Power BI, Big Data Tools (Pyspark, Hive and more), SQL, and Microsoft Advanced Excel. Delivered by seasoned industry experts, this placement guaranteed program shall provide learners with hands-on ‘do & learn’ experience through 7 Intensive Micro Projects & 2 Capstone Projects, along with mentoring sessions for the Micro Projects.
What You Get From This Program
Become an expert in cutting-edge Data Science & Machine Learning tools and techniques with a program designed by industry experts from the Manipal Institute of Technology (MIT).
9 Months Live Online Sessions
A Program That'll Redefine Your Future
Tools & Packages
The 9-month online program will provide learners with an application-oriented learning experience through 7 Intensive Micro Projects and 2 Capstone Projects. The learners will be working in groups of 5 each, and the participants' viva will be conducted at the end of the project. These projects aim to equip learners with the Data Science and Machine Learning skills one will need to tackle real-life business challenges and provide industry exposure to kickstart their careers.
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Here's What Our Alumni Have To Say!
Piyush SharmaConsultant, Equifax
I recently finished this Data Science program from UNext and got placed in one of my dream companies, Equifax!
Suraj ThallapalliData Engineer, Publicis Sapient
The placement process started in the second term of the program & many Data Science-based companies like Equifax, dhiOmics & Fractal Analytics came to hire learners across several roles like Data Science Consultants, Data Analysts, Machine Learning Scientist, etc. I’m happy I got placed in Equifax & am thrilled to start my Data Science journey.
Soubhagya Ranjan BalNetwork Engineer
Even during the pandemic, the placement team worked really hard to bring companies in. It was a big transition for me from the networking domain to this Data Science world but I finally got selected as a Business Consultant Intern at Eversana.
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.
As a JS developer I was making a modest salary in a stagnant role and I wasn't excited about my prospects. With this course, I got a 86% hike.
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.
Talk to our academic counselors and know in detail how the program is designed to aid in your career transformation
Chief Learning Officer
Senior Director - Data Science, UNext
Senior SME - Data Science, UNext
SME - Data Science, UNext
Dr. Suman Katragadda
Analytics Thought Leader
SME - Data Science, UNext
Dr. K Sailaja Kumar
Senior SME – Data Science, UNext
Naga Brahmam Yekkali
Principal – Big Data Engineering, UNext
With Placement Guarantee
With Placement Assistance
To know more about how our Placement Guarantee & Placement Assistance features work, refer to the FAQs section.
Talk to our admission counselors to know more. Other T&C apply.
The following learners are eligible for placement guarantee:
Please note that Manipal Institute of Technology (MIT) is not responsible or does not offer any placement support, assistance or placement guarantee post-program completion of the PG Certificate Program in Data Science and Machine Learning.
The following learners are eligible for placement assistance:
Interested candidates will have to fill up an online application form. Those who match the eligibility criteria for placement guarantee will have to undergo an online assessment test depending upon their graduation streams. Candidates clearing the assessment successfully may undergo a video call-based interview.
Interested candidates will have to fill up an online application form. Those who match the eligibility criteria for placement assistance will receive the Provisional Admissions Letter. After that, they have to pay the program fees to complete the enrolment process.
Every learner who successfully completes and fulfills the Academic Requirements of the PG Certificate Program in Data Science and Machine Learning from Manipal Institute of Technology (MIT), and conforms to the program’s disciplinary norms will be offered UNext’s Placement Guarantee.
As per UNext’s placement guarantee feature, every learner who has successfully completed and fulfilled the academic requirements of the Post Graduate Certificate Program in Data Science & Machine Learning from Manipal Institute of Technology (MIT) and strictly adhered to the program’s disciplinary norms will be provided with at least 3 job opportunities. By the end of the program, there would be an additional 3 months within which the job opportunities shall be provided to all the eligible learners.
A learner is eligible for the Placement Guarantee only if they fulfill the following prerequisites:
1. The learner agrees to adhere to the code of conduct (wherever applicable) and the other terms & conditions, including the student handbook set by UNext.
2. To be eligible for the UNext Placement Guarantee, learners must meet the minimum academic requirements in each course in each term with respect to:
3. Secure the following Placement Eligibility Score:
4. Participate in all preparatory placement sessions organized by UNext placement cell
5. Fees payment: To be eligible for the UNext Placement Guarantee, the learner must ensure all fees for the program are paid on time as outlined in the fee structure and payment schedule shared at the time of admission. Any delays in payment of the Program fees will invalidate learner’s entitlement to the UNext Placement Guarantee
6. In addition to the eligibility criteria defined by UNext, learners must meet the requirements/ eligibility criteria for placement set by each partner organization (age/education/any employment condition). The learner agrees to produce the proof of eligibility (marks/age/etc.) at any point in time
7. Please note that the following learners will only be eligible for Placement Assistance and not for UNext Placement Guarantee. They will not be eligible for the pay-out as well.
Placement Assistance Duration is typically the 3-month duration that comes after the Placement Duration. The Placement Cell brings in opportunities for learners even during the Placement Assistance Duration. However, those covered under the UNext Placement Guarantee feature will get an additional stipend for these 3 months or until the receipt of an offer, whichever is earlier.
For example: If the 9-month course begins in March 2023 and gets over in the month of December 2023, then January 2024 to March 2024 will be considered as the “Placement Duration” and April 2024 to June 2024 will be the “Placement Assistance Duration”.
Placement Duration is typically the 3-month duration after completion of the program in which Placement Cell brings in opportunities for the candidates who are eligible and would like to avail UNext’s placement guarantee feature.
Placement Duration is typically the 3-month duration after completion of the program.
Placement Assistance Duration is typically the 3-month duration that comes after the Placement Duration ends.
As per the UNext’s placement guarantee feature, every eligible candidate will be provided with a minimum of 3 job interview opportunities in the Placement Duration. If the learner does not get the minimum assured number of job interview opportunities during the Placement Duration, the learner will automatically enter the Placement Assistance Duration. During this time, the learner will continue to avail the placement opportunities from UNext and a payment of INR 20,000 per month for the subsequent 3 months (“Placement Assistance Duration”), or until the receipt of the Offer Letter during the Placement Assistance Duration, whichever is earlier.
The Placement Assistance offered shall not be construed to be a promise of placement.
Also, every learner pursuing the program, irrespective of whether they are eligible for UNext’s placement guarantee feature or not shall continue to receive placement opportunities, unless the participant gets at least one job offer. Stating that, placement opportunities shall continue even after the Placement Assistance Duration is over.
While UNext provides Placement Guarantee to all the eligible learners of the PG Certificate Program in Data Science & Machine Learning, the selection of a learner and final recruitment decision will be made by the partner organization and will be their sole discretion. It will be binding between the learner and the partner organization. Additionally, the designation, compensation, role, place of work, terms & conditions of the placement letter, or employment letter are the prerogative of the placement partner, and UNext is not responsible for the same.
A “Placement Opportunity” is defined as a job posting on the LMS (Learning Management System) which the placement team provides after receiving relevant job requirements from a company.
No. The learner has the choice to skip a maximum of two placement opportunities during the Placement Duration/ Placement Assistance Duration by sending an email communication, well in advance, to the Placement Coordinator, explicitly mentioning the reason for skipping the opportunity. The learner must attend to each opportunity extended to them in good faith. If they are found skipping more than 2 opportunities without any valid reasons, the learner will not be eligible for UNext’s Placement Guarantee and will not be considered for any further placement opportunities.
A “Job Interview Opportunity” is defined as that opportunity in which the candidate is shortlisted by a placement partner for the selection process, which may include but is not limited to interviews, coding assessment, or other written and verbal assessments. A learner shall be considered to have been provided a “Job Interview Opportunity” if they are shortlisted for an interview, even though the student fails to appear for the interview or does not submit any other assessment required as part of the Placement Opportunity.
Any learner who applies and gets shortlisted for a Job Interview Opportunity must go through the entire selection process unless rejected midway by the partner organization. Any deviation from this will result in the candidate being ineligible for the UNext’s Placement Guarantee. However, suppose they face an unavoidable situation amid the hiring process, because of which the learner cannot proceed further with the hiring process, then the student must inform the same by sending an email communication to the Program Coordinator, explicitly mentioning the reason for skipping the opportunity. If the participant fails to do so, it will result in them being ineligible for the UNext Placement Guarantee.
Yes, we do provide EMI payment options to learners. If the learner signs up for the guaranteed placement program, they will have to pay an EMI of INR 16,666/month for 9 months or pay INR 13,333/month for 9 months if they enroll for the placement assisted program.
Here are the eligibility criteria for the program:
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.
The admission test will be based on the following:
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.
This PG Certificate Program in Data Science and Machine Learning is spread over 9 months.
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.
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.
Yes, there will be assessments, scores and grading for the courses conducted.
Refunds will be processed according to our Refund policy.
Yes, we have industry experts and corporate partners who play an active role in designing the program curriculum, learning interventions, internships, and placements.
The PG Certificate Program in Data Science and Machine Learning is an online instructor-led program that can be accessed from anywhere.
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.
A learner is considered placed when the placement cell receives an email communication from the hiring company notifying them about the learner’s job selection with no further round/s of interview.
A learner is still considered as placed and not eligible for any further placement opportunity: