Postgraduate Diploma in Data Science & Analytics

in association with  

Finx Institute Limited (Formerly known as BSE Institute Limited)

Scope

This program is a comprehensive, application-oriented program designed to provide participants with the technical knowledge and analytical skills required in today’s data-driven world. The course introduces learners to the entire data science workflow — from data collection, cleaning, and preparation to analysis, visualization, machine learning, and AI-driven insights.

Students will gain hands-on experience with tools, programming languages, and platforms used in the industry. The program places a strong emphasis on real-world applications, ethical considerations in AI, and communication of data insights to support business decision-making and strategic innovation.

By the end of the program, students will be equipped to take on roles in data analytics, data science, machine learning engineering, and business intelligence across sectors such as finance, healthcare, e-commerce, consulting, and technology.

Course Objective

The objective of the Postgraduate Diploma in Data Science & Analytics is to develop data-literate professionals equipped with analytical thinking, technical skills, and domain knowledge to extract insights and drive data-informed decisions. The program aims to:

  • Provide a strong foundation in data science tools and technologies, including big data frameworks and cloud computing platforms.

  • Enable proficiency in statistical methods and data analysis techniques essential for interpreting and solving real-world business problems.

  • Train students in data preparation, transformation, and exploration, ensuring readiness for advanced analytics and machine learning applications.

  • Build skills in data visualization and dashboard development, facilitating effective communication of analytical findings to diverse stakeholders.

  • Introduce core and advanced machine learning algorithms, preparing students to develop predictive and prescriptive models.

  • Expose learners to emerging technologies such as Generative AI, enhancing their ability to innovate using cutting-edge artificial intelligence techniques.

  • Foster an understanding of the ethical, legal, and societal implications of data use, promoting responsible and secure data practices.

Target group

Fresh graduates and working executives/professionals.

Semester I

Course 1: Big Data Engineering with Cloud, Spark and Kafka

Course 2: Data Statistics, Preparation and Analysis

Course 3: Data Visualization

Semester II 

Course 4: Machine Learning

Course 5: Generative AI and Large Language Models (LLMs)

Course 6: Case Studies

Course Assessment

Assessment Instruments

(%)

End Semester Examinations

80

Individual Assignments and/or Team case presentation

20

TOTAL

100

* For Papers where Individual Assignments and/or Team case presentation is not assessed, the weightage for End Semester Assessment is 100%

Eligibility Criteria

Final degree appeared or graduates in any discipline from a recognized university.

Please note the candidate appeared for final year degree is required to mention combined marks for previous Semester/Year. Students with arrears or supplementary papers are not eligible.

Duration and fees

Course Duration

One Year

Course Commencing

August 2025 (to be communicated in due course)

Course Fee

Total ₹ 85,000/- (Eighty five thousand only) (excluding Registration Fees of ₹ 600/-)

First instalment on admission - ₹60,000 (Sixty thousand only). Second instalment of ₹ 25,000/- is to be paid by 7th January, 2026.

Class Days & Timing

Monday to Friday

6 p.m. – 8 p.m.

Saturday

4 p.m. – 7 p.m.

Diploma

Diploma will be given after the successful completion of both the semesters jointly by St. Xavier’s College (Autonomous), Kolkata and FinX Institute Limited (Formerly known as BSE Institute Limited)

Attendance Policy

A student must obtain a minimum of 75% attendance in all papers/subjects separately. A student who has between 60% and 74% attendance on grounds of illness or any other unavoidable circumstance will have to seek condonation from the Prof-in-Charge of COP. Without the condonation the student will not be allowed to appear for the examination.

Admission Procedure

Step 1: Submission of online Registration Forms


  • Printing facility is required while filling up this online form.
  • Please read the instruction in the Registration Form and Acknowledgement Card with care.
  • The registration fees of Rs. 600/- to be paid within the last date by using online payment method.
  • Application forms are available online only through this website.
  • No printed forms will be issued by the College

Note: After successful online submission please note down your Application Number for further reference.

Step 2: Interview / Selection Process


  • Interview List with date and time will be uploaded on the college website in due course.
  • All the eligible candidate will be invited for personal interview.
  • All original testimonials, marksheets, certificate and appointment letter of work experience for working candidates are to be bought at the time of the interview for verification.

Note –Selection Procedure will be based on qualifications, work experience, and/or personal Interview.

Step 3: Admission Process & Online Payment of Fees


  • Publication of Selection list and Admission Dates will be notified on the website.
  • The College Fees will be accepted only online through Credit Card, Debit Card or Net Banking. Those who seek admission to the College should ensure that they are equipped and conversant with the online payment system.

Online Payment FAQ

  1. Online Payment Assistance: For any assistance regarding online payment, call Kolkata Bill Desk Office between 10 am and 5 pm on all working days on the following numbers : 033-4003 5101/02/03/04
  2. In case of non-receipt of the “online payment receipt” through the College Website, even after the completion of the payment process, the student is advised to verify with the concerned bank before attempting a repayment. However, if your account has been debited, contact COP Office (Room 7) with your bank details to get your site updated, after which you will automatically get your receipt.
  3. Refund of Excess Fees Paid Online: In case of any fees having been paid online more than once, the payer is requested not to place any Charge Back Request to their respective banks. The excess payment will be refunded from the Treasurer’s office at St. Xavier’s College as soon as the payer places a request for the refund in the Treasurer’s office with the documented evidence of the payment in question.
  4. In case of any “Charge Back Request” is placed by the student to their respective Banks, then a processing charge as applicable will be recovered from the student.

Cancellation of Admission & Refund Policy

Your admission will be cancelled

  1. If the admission form is incomplete.
  2. If the supporting documents are not complete.
  3. If false documents have been submitted.
  4. If required educational qualifications are not fulfilled.
  5. If incorrect or wrong information is given.
  6. If the examinations are not passed from a recognised Board/ University

Note: Admission once cancelled will not be re-considered and fee paid will not be refunded under any circumstance.

Admission 2025


Click Here to Apply Online
Login to your application
(After successful online submission)

On login you may

  • Pay Application Fee Online
  • Print Online Payment Receipt
  • Print Acknowledgement Card
  • Check Application Registration
  • Pay Course Fee Online (After Selection)
  • Print Admission Form (on Paying Course Fee)
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St. Xavier's College (Autonomous), Kolkata

30, Mother Teresa Sarani,
Kolkata - 700016,West Bengal, India

contact@sxccal.edu

Reception: 033-2255-1101

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