Post Graduate Program in Data Science Admission 2024: Admission Process, Eligibility, Entrance Exam

Dinesh

Senior Content Specialist | Updated On - Jan 8, 2024

The Master of Data Science Program (PGPDS) is a rigorous and comprehensive software designed to equip professionals with the abilities and knowledge wanted for the dynamic field of information science This advanced path covers subjects which include statistical evaluation, device learning, facts visualization and huge data strategies.

Participants mastered the basics of records science strategies, facts preprocessing strategies, function engineering, and model assessment. The path integrates practical enjoy with enterprise-applicable equipment and systems, making sure sensible proficiency in making use of information science standards to real-global situations.

PG Program in Data Science Admission Process

Eligibility Criteria:

• Educational Qualification: Typically, a bachelor's degree in any discipline is required. Some programs may prefer specific backgrounds like mathematics, statistics, computer science, or engineering.
• Work Experience: While not mandatory for all programs, having some work experience, especially in data-related fields, can strengthen your application.
• Quantitative and Analytical Skills: These skills are essential for success in data science. Some programs may assess them through entrance exams or aptitude tests.

Selection Process:

The specific selection process may vary depending on the program you choose. However, some common steps include:

1. Application Form: Submitting a well-crafted application form is your first step. Highlight your academic achievements, relevant work experience, and motivations for pursuing data science.
2. Entrance Exams: Some programs may require you to take standardized tests like GRE, GMAT, or CAT. Others may have their own aptitude tests to assess your quantitative and analytical skills.
3. Personal Interview: This is your chance to shine! Showcase your passion for data science, discuss your career goals, and demonstrate your problem-solving abilities.
4. Shortlisting and Selection: Based on your application, entrance exams (if applicable), and interview performance, shortlisted candidates will be offered admission.

Process Overview:

PG Program in Data Science Course Eligibility

Educational Qualification:

• A bachelor's degree in any discipline is typically required. Some programs may prefer specific backgrounds like mathematics, statistics, computer science, or engineering.

• Work Experience: While not mandatory for all programs, having some work experience, especially in data-related fields, can strengthen your application.

• Quantitative and Analytical Skills: These skills are essential for success in data science. Some programs may assess them through entrance exams or aptitude tests.

Additional Eligibility Requirements:

• Some programs may require you to have taken specific courses in mathematics, statistics, or computer science.

• Some programs may have minimum GPA requirements.

• International students may be required to submit TOEFL or IELTS scores.

Here is a table that summarizes the eligibility criteria for PG programs in data science:

PG Program in Data Science Entrance Exams

1. Graduate Aptitude Test in Engineering (GATE):

• A national-level exam for engineering and science graduates, GATE offers admission to several PG data science programs across India.
• Focuses on core engineering and science subjects like mathematics, statistics, computer science, and algorithms.
• Highly competitive, requiring strong analytical and problem-solving skills.

2. Joint Entrance Examination - Master's (JAM):

• Another national-level exam, JAM caters to students with backgrounds in Mathematics, Physics, Chemistry, etc.
• Offers entry to M.Sc. programs in Data Science, Computational Science, and related fields.
• Focuses on the theoretical foundations of these subjects, including calculus, linear algebra, and probability theory.

3. National Entrance Screening Test (NEST):

• Conducted by the National Institute of Science Education and Research (NISER), NEST grants admission to its prestigious PG Data Science program.
• Tests fundamental concepts in mathematics, physics, chemistry, and biology, along with logical reasoning and problem-solving abilities.
• Relatively less competitive compared to GATE and JAM.

4. University-Specific Entrance Exams:

• Many universities conduct their own entrance exams for PG data science programs, catering to their specific curriculum and research areas.
• Example: Indian Institute of Technology Madras (IIT Madras) conducts the Graduate Aptitude Test in Computer Science (GAT-CS) for its M.Sc. Data Science program.
• Content and difficulty vary based on the university and program.

Top 6 Post Graduate Program in Data Science [PGPDS] Colleges in India with Fee Structure

Tabulated below is the collection of the Top 6 Post Graduate Program in Data Science [PGPDS] Colleges in India with Fee Structure, including their key features.

PG Program in Data Science Syllabus 2024

PG Program in Data Science Admission 2024

• Research programs: Explore universities, colleges, and online platforms offering PG data science programs. Consider factors like program curriculum, faculty expertise, industry collaborations, and placement records.
• Eligibility criteria: Check specific requirements for each program, including educational background (bachelor's degree preferred), work experience (optional in some cases), and quantitative/analytical skills demonstrated through entrance exams or aptitude tests.
• Admission timeline: Be aware of application deadlines, entrance exam dates, and interview schedules for your target programs. Early planning is crucial!

Gear Up for Exams:

• Standardized tests: If required, prepare for national-level exams like GATE, JAM, or university-specific entrance tests. Focus on core subjects like mathematics, statistics, computer science, and problem-solving skills.
• Practice makes perfect: Solve past years' papers, mock tests, and online resources to gain confidence and refine your approach.

Craft a Compelling Application:

• Highlight your strengths: Showcase your academic achievements, relevant work experience, and projects demonstrating your passion for data science.
• Personal statement: Write a compelling narrative outlining your career goals, motivations, and how the program aligns with your aspirations.
• Letters of recommendation: Seek recommendations from professors, mentors, or employers who can vouch for your skills and potential.

Top 6 Private Post Graduate Program in Data Science [PGPDS] Colleges in India with Fee Structure

Tabulated below is the collection of the Top 6 Private Post Graduate Program in Data Science [PGPDS] Colleges in India with Fee Structure, including their key features.

PG Program in Data Science Course Placements

Landing High with the Right Skills:

PGPDS programs prepare you for diverse data science roles like Data Analyst, Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst. The curriculum emphasizes practical skills like:

• Coding: Proficient in Python, R, or other data science languages.
• Data Wrangling: Cleaning, manipulating, and analyzing large datasets.
• Machine Learning: Implementing algorithms like regression, classification, and clustering.
• Data Visualization: Crafting compelling insights through charts, graphs, and dashboards.
• Communication: Translating complex data stories into actionable insights for stakeholders.

Average CTC in India:

The average CTC for PGPDS graduates in India is estimated to be around INR 8 - 10 lakhs per annum, with top performers reaching upwards of INR 15 lakhs. However, salary varies significantly based on factors like college reputation, industry demand, individual skills, and location.

Top Indian Colleges and Placement Success:

Top 10 Government Colleges in India with Fee Structure

Tabulated below is the collection of the Top 10 Government Colleges in India with Fee Structure, including their key features.

PG Program in Data Science Course Jobs and Salary

The PGPDS equips you for a smorgasbord of data-centric roles, each with its unique flavors and challenges. Here are some key prospects:

• Data Analyst: Sieve through data, identifying patterns and trends, and crafting insights for informed decision-making.
• Data Scientist: Architect and implement machine learning models to solve complex problems and automate processes.
• Machine Learning Engineer: Build and deploy intelligent systems, translating data science algorithms into real-world applications.
• Business Intelligence Analyst: Translate data into actionable insights for businesses, guiding strategic planning and improving operations.
• Data Visualization Specialist: Transform complex data into captivating stories, using powerful visual tools to engage stakeholders.

Specialization and Salary Spectrum:

Within these roles, your chosen PGPDS specialization can further refine your expertise and influence your earning potential. Let's explore some popular specializations and their average salaries in India: