Post-Graduation Diploma in Data Science- PGPDS
The Post Graduate Diploma in Data Science is a unique program offered by IAER Kolkata which is an excellent blend of knowledge and practice in the field of Data Science and its industrial applications. The program is targeted for creating qualified Data Science professionals.
A data scientist’s role was to assist corporations attempting to experiment with gigabytes of data to obtain breakthroughs from this data pool. They will analyze, process, interpret, and store data utilizing their computer science, statistics, and mathematical skills. A data scientist’s scope includes not just analytical talents, but also the greatest social skills for discovering patterns.
This course is meant to sensitize students for computational statistics applications and usage as well as provide hands-on experience with solving real world data science issues.
Data scientists also use machine learning and artificial intelligence, as well as their programming skills in Java, Python, SQL, Big Data Hadoop, and data mining.
The PG Diploma in Data Science course content has been designed by industry pioneers and experts to provide exposure to data science techniques and technology.
For detailed programme information, download the brochure below. Next batch commence from July - 22
Option to pay fees using easy EMI with 0% interest.
Duration
1 Year
EMI Option With
0% Interest
Next Batch
July,2022
Programme Fee
1,48,000
APPROVALS
The Program is approved by MAKAUT University, West Bengal (Recognised by UGC).
The University is included in Section 2F and Section 12B of the UGC and is a recipient of the UGC Grant.
Upon completion of this program, you will receive:
- MAKAUT Post Graduate Diploma in Data science
- MAKAUT Post Graduate Diploma Transcript
Programme Highlights
- In the Graduate Diploma program, students will learn to model and interpret data, and to assist management in making data-driven decisions. This program will help the students to understand:
- The techniques and subject matter based on theoretical statistics and machine learning to analyze and interpret information and predictions from unknown datasets
- How to perform independent data analysis by selecting appropriate statistical methods for a given situation and drawing appropriate conclusions following empirical analysis to form the basis of managerial decision-making
- How to use statistical software to analyze datasets.
Programme Curriculum
Banking & Finance Syllabus
- Programming for Data Science
- Data Science with R
- Python for Data Science
- Data Science with Python
- Machine Learning
- Tableau Training
- Data Science Capstone
Electives
- Natural Language Processing
- Industry Master Class – Data Science
For detailed programme curriculum, download the brochure.
Online Exams Option
The University offers a choice between giving the examination online or giving them at the college.
The student will be allowed to choose one of the options depending on his/her own preferences and circumstances.
Both options are explained below:
Two Options on Mode of Examinations:
-
Online Examinations:
The students choosing this option can give the examinations online from any location. To sit for an online examination the student must have a laptop or a desktop with a web camera, a smart phone and good internet connectivity. As per the examination schedule, the student is expected to log in to the institution’s online examination platform and give the examinations in compliance with the institution’s defined guidelines and rules announced before the examinations. -
Examinations at College premises:
Students choosing this option will need to appear in person for taking the examinations at the institution premises with the required documents.
Eligibility Criteria
Minimum eligibility to apply:
Any student with B.Tech, BCA, BBA (CA), MCA, B.Sc, M.Sc in Mathematics or Statistics
Fee Structure
Online Mode
After Scholarship, the program fee ( inclusive of Admission Fee , University Fee and Training Fee ) 148000 /-
Offline Mode
After Scholarship, the program fee ( inclusive of Admission Fee , University Fee and Training Fee ) 198000 /-
You may choose to make the payment using
- Internet Banking
- Credit/Debit Card
- Standard EMI
Option to submit fee using easy-EMI with 0% interest, Click Here to learn more.
All the above fees are non-refundable.
FINANCING OPTIONS: We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
How to Apply
- Click here to visit the IAER Kolkata Online Application Centre. Create your login at the Application Centre by entering your unique Email id and create a password of your choice. Once your login has been created, you can anytime access the Online Application Centre using your email id and password.
- Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice.
- Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all the details and press ‘Submit’ button given at the bottom of the form.
- Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.
- Take a printout of the downloaded Application Form and note down the Application Form Number displayed on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with IAER Kolkata.
- Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.
- Make photocopies of the documents mentioned in this Checklist.
- Applicants are required to self-attest all academic mark sheets and certificates.
- Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are PDF and JPEG.
- Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.
- Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.
Featured Faculty
Prof. Pravin Y Pawar
Dr. Chetana
Dr. Saikishor Jangiti
Prof. Rajavadhana
Prof. Vijayalakshmi Anand
Prof. Ashish Narang
Prof. Swarna Chaudhary
Dr. Jyotsana Grover
Student Speak
Toshit Kumar
Extending values beyond the classroom by making sure skills and concepts taught in the classroom are authentically useful in the world beyond school. Really very nice and awesome experience and good infrastructure and perfect platform to overcome our fear and to fulfill our dreams.
Abhishek Arora
I was highly elated when I got the admission in Data Science program here. As I had always wished to graduate from a place that has a state-of-the-art infrastructure and the latest technologies. I also like the fact that the campus is very clean and the canteen serves very hygienic food.
Arundhati Roy
Thank you, all staff. I'm glad I've chosen IAER. There is a friendly atmosphere in the school and all teachers and staff are just amazing, helpful and passionate. I can feel that they always care about students and try to make the school better and better in various ways. I was so nervous at first but I'm enjoying the class so much now.
Manish Paul
I really value my education at IAER for many reasons. First, I get to learn about many things I never knew about. Another reason is that the teachers here really care about you and your education. If you are hard-working enough, you can give tuitions to those students who don't fully understand a subject.
Priya Chaubey
It gives me a great pleasure to associate myself with IAER. It is difficult to put my personal experience in a few lines but I must say that the ambiance in the campus is very friendly. I really enjoy both my studies and co-curricular activities, equally and simultaneously
Campus Recruitment
The Training and Placement cell of IAER, is an integral part of the academics It helps in shaping the careers of our students in the field of Information Technology.
The Training & Placement Cell works diligently to provide a workable environment to the students that enables them to understand the requirements of corporate & Industrial world. Its aim is to find an appropriate place for students in the corporate. The Cell continuously explores different areas of opportunities in the field of IT for Placement.
The soft skill & personality development workshops help students to polish their communication skills, build confidence, to make students industry fit professionals. We organize guest lectures, industrial visits & are always striving to strengthen Industrial Interface.
Career Path
You can explore career opportunities as:
- Transport service provider for Uber
- Automobile Manufacturing for Mercedes Benz
- Ecommerce for Amazon
- Retail for Walmart
- Telecommunications for Comcast
Placement Opportunity
Some of the companies that hire Data Scientists are: Google, Microsoft, Facebook, Amazon, Apple, JPMorganChase, Goldman Sachs, etc.
Learning Methodology
Weekly Webinars
The online webinars are conducted usually over weekends. If you miss a lecture, you can also access the recorded lecture on the internet.
Industry visit
Industry experience and visit helps students gain immense knowledge and also helps them to boost their connections which helps them in the long run.
Continuous Assesment
Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.
Digital Learning
Learners can access engaging learning material which includes recorded lectures from IAER Kolkata faculty members.
Dissertation/ Project Work
Annual Project and presentation, Graduation project