PG Diploma in Big Data Analytics JNU Placements (and more)

PG Diploma in Big Data Analytics JNU Placements, Eligibility and More

Introduction

Did you know that the data collected globally in a day is more than 2.5 quintillion bytes? That is mind-blowing! Even more interesting, only a limited number of data experts are available to analyze this data.

If you want to become a competitive data specialist, enroll in a big data analytics programme at JNU. The programme is accredited and offers hands-on training to all participants.

Course Objectives

This is a skill development programme that trains professionals/ postgraduates in big data analytics and its application in various fields.

Participants will undertake courses in Machine Learning, Modeling Technologies, Big Data Collection, and Data Warehousing. Additionally, the programme incorporates various data analytics tools and techniques such as Python and R.

Course Duration: 1 year

Type of Course/ Medium: Full-time

Programme Curriculum

This programme’s curriculum integrates various concepts of management, data analysis, decision-making science, and the use of statistical tools.

The syllabus follows a semester system where each course is assigned credits. One credit equals one contact hour per week. Students will be required to attend more than 75% of the total credit hours to complete the programme.

Admission Process

• Candidates are required to apply for the programme online through the institution’s official website.
• Candidates must submit duly completed application forms and upload their documents before the stipulated deadline.
• Candidates will then be required to undertake a Computer-Based Test Entrance Exam conducted by JNU University.
• Admission is based on performance in the entrance examination, academic credentials, and previous work experience.
• Successful candidates will be intimated through the phone numbers/ email addresses provided during the application process.
• Candidates will be required to deposit the initial fee deposit to reserve their seats.

Pedagogy

JNU utilizes a hybrid pedagogical system where instructors use both online and classroom approaches. Students are required to register through the online Learning Management System (e-LMS) where they will access digital learning materials, assignments, recorded lectures, and seminars.

Additionally, students must attend a minimum of 75% classroom hours to complete the course.

Students are evaluated using different approaches such as surprise tests, assignments, mid-term examinations, sessional work, and end-of-term examinations.

Additionally, all students must undertake a project under the guidance of authorized supervisors to apply their knowledge in solving real business problems. Students are graded on a scale of 10.

Eligibility

The programme is classified into three disciplines, each following independent eligibility criteria as shown below:

Discipline	Eligibility
Physical Sciences	Candidates must have a background in Mathematics, Chemistry, Physics, or related disciplines.
Computational Biology/ Life Sciences/ Bioinformatics	Candidates must have a strong academic background in life sciences, Bioinformatics & Computational Biology, or Life Sciences/Biotechnology (with a bias on informatics).
Computer Sciences/ Engineering	Candidates must have a background in any Engineering discipline (including IT) with a bias in computational data analytics.

Fee Structure

The total fee for this programme is Rs.10,144.

Placement Assistance

JNU has placement cells under the Corporate Resource Center (CRC) that link students to local and international employers. It trains students on resume writing and conducts mock interviews to guarantee psychological stability when undertaking employment interviews.

Additionally, the institution has established partnerships with potential employers in different industries. The institution has a placement success of more than 90%.

Job Prospects

Some of the organizations that participate in the institution’s recruitment drive include TATA BSS, IDBI Federal Life Insurance Company Limited, Life Insurance Corporation of India, ICICI Bank, AIM India, Maruti Suzuki India Pvt Ltd, and BSE. The average entry salary for graduates is Rs . 6 Lakhs, with the highest earning approximately Rs. 12 Lakhs annually.

Accreditation and Ranking for JNU

JNU is recognized by UGC and the AIU. It was awarded the Visitor’s Award as the Best University in 2017. Additionally, the institution was ranked 561-570 by QS World University Rankings.

The National Institutional Ranking Framework (NIRF), 2020 ranked it 2rd among all universities in India.

Frequently Asked Questions

Q1: Is JNU a reputable institution for data science courses?

Ans: Yes, JNY is a public central university in New Delhi. It is recognized by the Ministry of Human Resource Development, Government of India. It is also a leading university in research, technology, and management. Its data science programme boasts of high acceptability among employers as more than 90% of participants get placements in local and international organizations.

Q2: Does JNU have an entrance examination for data science?

Ans: Yes, the institution offers an entrance exam to all prospective candidates. The examination is designed to test the candidates’ knowledge in data/computer and English. It comprises Mathematics and Computation, Aptitude Tests, and English Test sections. The institution set the minimum cut-off points for admission based on the candidates’ performance and seat availability.

Q3: Can I undertake the JNU entrance examination online?

Ans: No, JNU entrance examinations are conducted by the National Testing Agency (NTA). Candidates will receive their admit cards online. They are required to access and download it through the portal by visiting the NTA official website after confirming the accuracy of all the details. They must then bring their exam cards to JNU exam centres to be allowed to undertake the examinations.

Q4: Can I be admitted to JNU without the entrance exam results?

Ans: Yes, there is an exception to the JNU entrance exam requirement. Candidates who scored a minimum of 55% in their Master’s Degree and possess a valid national test enough for the award of Junior Research Fellowship will be exempted. However, these candidates will be subjected to viva voce examinations/ online interviews before admission.

If you have any questions, please ask us here – we answer every single query of students. 

JNU Data Science Quora

JNU data science programme comprises several modules designed to equip students with analytical skills and business decision-making techniques. The programme’s demand in the job market has increased substantially with the growth of technology. This article highlights all the requirements you should meet before enrolling in the programme.

Contact Details

• Official Website: https://jnu.ac.in/
• State: New Mehrauli Road, New Delhi

Other Courses Offered at JNU

Image Credit: Tech Daily