PG Certificate Program in Data Science and Machine Learning

Interested students will have to fill up an online application form. Those who match the eligibility criteria will have to undergo an online assessment test depending upon their graduation streams and programming knowledge. Candidates clearing the assessment successfully may undergo a video call-based interview. More details regarding the selection procedure will be updated soon.

Here are the eligibility criteria for the program:

– Freshers 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.

– Candidates who’ve graduated in 2021 (with or without prior work experience) can apply.

– Aspirants who’ve graduated between 2018 and 2021, with at least 1 year of work experience, can apply

– Aspirants with up to 4 years of work experience can also apply

Note: Applicants who’ve graduated before 2018 will only be eligible for placement assistance.

Jigsaw Placement Guarantee* is provided for the learners of the PG Certificate Program in Data Science & Machine Learning facilitated by Jigsaw. As per the 100% guaranteed placement* feature, every learner who has successfully completed and fulfilled the academic requirements of the Post Graduate Certificate Program in Data Science & Machine Learning from Jigsaw 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 additional 3 months within which the job opportunities shall be provided to all the eligible learners.

A learner is eligible for the Jigsaw 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 Jigsaw. 
2. The following learners are eligible for Placement Assistance only and not for Jigsaw Placement Guarantee*. They will not be eligible for the pay-out as well.

•   Learners who have work experience of more than 4 years
• Learners who have graduated in 2018 and do not possess work experience for a minimum of one year
• Learners who have graduated before 2018
• Any learner who is a fresher and has scored less than 50% in Graduation

3. To be eligible for the Jigsaw Placement Guarantee*, learners must meet the minimum academic requirements in each course in each term with respect to:  

• Classroom and lab attendance: Minimum of 75% attendance at the time of course end Assessment without makeup sessions

• Academic performance in the tests, quizzes, and exams: Cleared each internal assessment/final assessment in the first attempt

• Timely completion of the assignments: No late submissions of any assignment

• Timely completion of the credits and submission of the project/internship

• No backlogs in any course in the program: No late submissions of projects/internship documents

• Any other course-specific academic requirement

• Secure the following Placement Eligibility Score: 

• Achieve a Placement Eligibility Score of greater than or equal to 60% by the end of the 9-month program
• For the Technical score benchmarking, learners are required to be assessed with DO-SELECT or a similar platform for assessments used for the recruitment
• Scores should be minimum of 60%
• Technical Ability (Conceptual Knowledge + Hands-on Skills) – Minimum of 60% score 
• Aptitude & Problem Solving, Data Storytelling, and Professional skills – Minimum of 60% scores 
• Tech Mock interviews – Minimum of 60% scores 
• Profile building (GitHub, Competitions, Projects/Portfolio) – Minimum 60% score

1. Participate in all preparatory placement sessions organized by Jigsaw placement cell
2. J. Fees payment: To be eligible for the Jigsaw Placement Guarantee*, the Student has to 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 Student’s entitlement to the Jigsaw Placement Guarantee*
3. K. In addition to the eligibility criteria defined by Jigsaw, 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

While Jigsaw provides Placement Guarantee* to all the learners of the PG Certificate Program in Data Science & Machine Learning (subject to meeting the eligibility criteria), the selection of a learner and final recruitment decision will be made by the partner organization at 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 the Academy is not responsible for the same. 

A Placement Opportunity is defined as being 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 Placement 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 placement opportunity must go through the entire selection process unless rejected midway by the partner organization. Any deviation from this will result in the learner being ineligible for the Jigsaw 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, 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 student fails to do so, it will result in the learner being ineligible for the Jigsaw Placement Guarantee*.

If a learner simultaneously appears for an interview for two partner organizations, they will have to accept the offer from the partner organization that provides the offer first. Our placement team will inform the latter partner organization that the student has already been placed and that they should not be considered further.

A learner is considered as placed and not eligible for any further placement opportunity:

• In the event of the learner not accepting the offer/ not joining the partner organization after getting selected
• If any learner who is selected but not joined/on the grounds of misconduct/indiscipline will be debarred

A learner is not eligible for the Jigsaw Placement Guarantee* in the below-mentioned circumstances:

1. The learner is not interested in this placement guarantee* opportunity
2. Not meeting the eligibility criteria as specified by Jigsaw
3. Any unruly behavior compromising the reputation of Jigsaw shall deem the learner ineligible for future placement opportunities
4. Non-cooperation with specified guidelines, including handbook, non-performance in assignment/training, wilful misconduct, acts of fraudulent, and embezzlement

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.

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

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

Each student enrolled in the PGCP-DSML program is eligible to receive Placement Assistance. If a learner does not meet the Guaranteed Placement criteria, we will aim to offer them 3 placement opportunities as Placement Assistance. However, they will not receive the stipend of INR 20,000 per month for the next 3 months.

Suppose any learner fulfills the Guaranteed placement criteria but doesn’t receive the 3 placement opportunities by the end of the 9-month program; In that case, they will receive a stipend of INR 20,000 per month for the next 3 months. 

However, the following learners are not eligible for a stipend of INR 20,000 per month for the next 3 months:

• Those who have graduated 4+ years before joining the course
• Learners who have taken a year off work or academics before joining the program

Refunds will be processed according to our Refund policy.

The Program fee for the PG Certificate Program in Data Science and Machine Learning may be paid in 3 equal installments or as a lump sum at the start of the program. Please contact our academic counselors for more details.

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

Each learner gets a minimum of three opportunities with hiring companies. An opportunity will be defined as a test or an interview with a company that is interested in it.

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

Machine Learning is one of the leading spaces of Artificial Intelligence. It helps computers to get into a self-learning mode without the need for any new external programming every single time. By implementing Machine Learning computers are taught to understand, grow and develop by themselves when they are fed with new data. Implementing Machine Learning in Data Science is to basically automate the process of Data Analysis and enable the process of making data-informed predictions in real-time without any human intervention. A Data Model is developed and trained to make real-time predictions. This is how the Machine Learning Algorithms are implemented in the Data Science

Organizations today are more data-driven than ever before. They tend to collect large amounts of raw data for processing and analyzing trends. Data Science is a domain that deals with the processes and systems that extract information from both structured and semi-structured data. Machine Learning on the other hand is the domain that enables computers to learn without the need for explicitly programming every time. Data Science and Machine Learning are intertwined through the process where machine learning enables systems to automatically process data to identify new trends without external programming.

The major difference between Data Science vs Machine Learning lies in their basic applications. Data Science deals with collecting and analyzing data for newer trends. While Machine Learning is primarily concerned with the group of tools and techniques used by data scientists that allow computers to learn from data.