Post Graduate Certificate Program in Data Science and Machine Learning (PGCP in DSML)

A student is eligible for placement guarantee, only if the student fulfils 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.

A student is eligible for placement assistance facility, if the student meets the below expected minimum academic and placement readiness requirements: 

To maintain the eligibility for placement guarantee/ placement assistance facility, student must meet the below expected minimum academic and placement readiness requirements: 

• 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 back logs 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 >60% by the end of the seventh month of the 9-month program. 
• For the technical score benchmarking, students are required to be assessed and maintain a minimum score of 60%. 

• Technical Ability (conceptual knowledge + hands on skills) – minimum of 60% scores in assessments conducted after every module completion. 
• Aptitude assessment – minimum of 60% scores (cumulative scores to be calculated and considered right from the first month of the program) 
• Tech Mock interviews – minimum of 60% scores (cumulative scores to be calculated and considered right from the first mock interview) 

• Minimum of 75% attendance participation in placements preparatory sessions organized by UNext. 
• Fees payment: To be eligible for placement guarantee facility, the student must ensure total fees for the program is paid on time as outlined in the fee structure and payment schedule shared at the time of admission. Any delay in payment of the program fees will invalidate student’s entitlement to placement guarantee facility. 
• Student/batch profile will be shared to the partner/hiring organization based on the eligibility criteria and job requirement specified by the partner/hiring organization. 
• In addition to the eligibility criteria defined by UNext, students must meet the requirements and eligibility criteria for profile shortlisting set by each partner/hiring organization (age/education/any employment condition). The student agrees to produce the proof of eligibility (marks/age/etc.) at any point of time.

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. 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 eligible learner who successfully completes and fulfills the academic & disciplinary requirements of the program will be offered placement guarantee by UNext Learning. 

 Manipal Institute of Technology (MIT) only offers the certificate and has nothing to do with the placement guarantee offer.

To maintain the eligibility for placement guarantee/ placement assistance facility, student must meet the below expected minimum academic and placement readiness requirements: 

• 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 back logs 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 >60% by the end of the seventh month of the 9-month program. 
• For the technical score benchmarking, students are required to be assessed and maintain a minimum score of 60%. 

• Technical Ability (conceptual knowledge + hands on skills) – minimum of 60% scores in assessments conducted after every module completion. 
• Aptitude assessment – minimum of 60% scores (cumulative scores to be calculated and considered right from the first month of the program) 
• Tech Mock interviews – minimum of 60% scores (cumulative scores to be calculated and considered right from the first mock interview) 

• Minimum of 75% attendance participation in placements preparatory sessions organized by UNext. 
• Fees payment: To be eligible for placement guarantee facility, the student must ensure total fees for the program is paid on time as outlined in the fee structure and payment schedule shared at the time of admission. Any delay in payment of the program fees will invalidate student’s entitlement to placement guarantee facility. 
• Student/batch profile will be shared to the partner/hiring organization based on the eligibility criteria and job requirement specified by the partner/hiring organization. 
• In addition to the eligibility criteria defined by UNext, students must meet the requirements and eligibility criteria for profile shortlisting set by each partner/hiring organization (age/education/any employment condition). The student agrees to produce the proof of eligibility (marks/age/etc.) at any point of time.

UNext assures that every student successfully completing and fulfilling the academic requirements of the PGCP-DSML program and strictly adhering to the program’s disciplinary norms, will be provided with placement opportunities. By the end of the Program, there would be an additional 6 months within which the placement opportunities shall be provided to all the eligible students. 

 If the eligible student is not placed by the end of these additional 6 months, student will continue to avail the placement support from UNext and a payment of ₹20,000 per month for the subsequent 3 months, after the completion of these additional 6 months post completion of program duration or until the receipt of the offer letter during the placement duration, whichever is earlier. 

The placement guarantee facility offered herein shall not be construed to be a promise for placement. 

Students who do not wish to avail this placement guarantee facility should inform the program coordinator. At the time of joining the program, students will have to duly sign this undertaking for being eligible for placement guarantee facility.

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 “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.</span></span>

The student has the choice to skip a maximum of two placement opportunities (opportunities for which the student is eligible to apply as per the criteria set by hiring organization) during the entire Program by sending an email communication well in advance to the program coordinator, explicitly mentioning the reason for skipping the opportunity. The student must attend each opportunity extended to him/her in good faith. However, 

if they happen to miss the third placement opportunity, they will not be eligible for 

placement guarantee facility and shall be eligible only for placement assistance only. 

If the student is found skipping more than 2 opportunities without any valid reason, the student will not be eligible for placement guarantee facility and will not be considered for further placement opportunities. Such an inability to be informed to the placement cell in advance and not on the day of placement drive.

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:  

• 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.

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. 

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.

“Placement” means receiving an opportunity, which offers paid position for a period of 3 months or more to the student, not limited to conditional offer letter including internship, probation, traineeship to evaluate a student for a permanent position. 

A learner is considered placed when the placement team 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:  

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