What is the difference between PGCP data science and MSc data science?

Data is a business’s most powerful resource. It can be a tool for making decisions as well as for telling a story. Better data enables faster business decisions than ever before. All businesses, regardless of industry, must get into the data business to thrive in the current economic climate.

Data-centric roles are critical to the operations of any successful business using big data in the twenty-first century. In other words, since data science is the way of the future for commercial decision-making, demand for it is rising. The CAGR of India’s data science education sector is reported to be 57.52%. 

To become a part of the supply side to this demand – or to work in data – you must study it thoroughly and get a strong grasp of it. Master of Science (MSc) degrees in data science and Post Graduate Certificate Programs (PGCP) are two popular choices. PGCPs and MSc degrees in data science serve distinct purposes and aim to achieve different career goals. Let’s understand the difference.

Check it: Is data science hard?

PGCP Data Science

Learners can grasp cutting-edge data science and machine learning tools and techniques like Python programming, database administration and SQL, statistical techniques for data science, EDA & feature engineering, and data visualization with the aid of the Postgraduate Certificate Program in Data Science & Machine Learning. This extensive nine-month program gives students practical experience through intense micro and big projects, as well as mentoring meetings.

MSc Data Science

MSc Data Science is an interdisciplinary degree program that focuses on the primary disciplines of calculus, descriptive statistics, and programming to better comprehend various phenomena involving a large quantity of real-world data. The data science field generates some of the highest-paying employment in the IT business, making it one of the best degrees to pursue globally in 2024. For this reason, a lot of students are interested in doing this two-year degree to further their careers.

Curriculum Comparison

The emphasis of the Post Graduate Certificate Program (PGCP) in Data Science is on industrial tools and real-world applications. It provides a practical learning experience by emphasizing real-world situations and the application of instruments frequently seen in the sector. The program is meant to provide pupils with the abilities they need to start working right away.

The Master of Science (MSc) in Data Science, on the other hand, places more emphasis on advanced procedures, research approaches, and theoretical concepts. It explores subjects including statistical inference, machine learning techniques, and data mining as it digs into the fundamental ideas of data science. Thesis work and research-focused projects are essential parts of the curriculum.

Must read: Tools covered in MAHE’s M.Sc. in Data Science

Admission Requirements

Entry criteria for the PGCP Data Science program

Graduate from a recognized institute/university with a qualifying degree that includes mathematics, statistics, or programming.

Must have at least 50% aggregate marks in graduation.

Entry criteria for the MSc Data Science program

10+2+3-year bachelor’s degree in statistics, mathematics, computer science, engineering, technology, or any other field after completing at least two years of coursework in statistics or mathematics at an accredited college or university or an equivalent degree.

A minimum of 50% in aggregate marks is required for candidates.

Experience is preferred.

The key difference between the two in terms of academic and professional prerequisites is the work experience.

Target Audience

The best candidates for a PGCP in Data Science are individuals with a great interest in real-world applications and a drive to pick up skills that are needed in the field right away. The ideal candidate will have a background in computer science, mathematics, or statistics and show a strong desire to use data analytics tools in their work.

On the other hand, the best candidates for an MSc in Data Science usually have a strong interest in researching, investigating cutting-edge techniques, and studying theoretical ideas. They have undergraduate degrees in comparable subjects and hope to work in academia, research facilities, or as data science leaders in businesses.

When making decisions, it’s critical to take job objectives and aspirations into account. This will help people select the program that best fits their intended career path and the skills they need to succeed in the workplace in the future.

Recognition and Accreditation

PGCP Data Science (MAHE)	MSc Data Science (MAHE)
NAAC A++	UGC-entitled
	NAAC A++
	AICTE-approved

Quick read: Career-readiness with an online program from MAHE

Career Opportunities

Career paths after completing a PGCP in Data Science

Data Analyst

Statistician

Infrastructure Analyst

Data Governance

Budget Analyst

Career paths after completing an MSc in Data Science

BI Developer

Data Modeler

Data Analyst

Systems Analyst

Statistician

Cost and Duration

	MSc Data Science	PGCP Data Science
Financial Investment	INR 2 Lakhs	INR 1.5-3 Lakhs
Duration	24 months	6-12 months

Make the right choice with MAHE: PGCP Data Science and MSc Data Science

The Post Graduate Certificate Program (PGCP) and Master of Science (MSc) in Data Science offered by MAHE (Manipal Academy of Higher Education) give students a variety of opportunities to meet their academic and professional objectives.

Selecting MAHE guarantees admission to a respectable university with a track record of academic success for either the PGCP or MSc in Data Science. The university gives students a competitive edge in the rapidly developing field of data science because of its dedication to remaining at the forefront of industry developments and its robust network of industry ties. For individuals looking for top-notch data science education, MAHE is a dependable option, whether they choose a longer, more hands-on program or a thorough, research-focused curriculum.

Conclusion

In conclusion, a person’s career objectives, academic interests, and desired skill sets all play a role in the decision between a PGCP and an MSc in Data Science. The MSc program offers a deeper academic understanding and experience focused on research, while the PGCP offers a shorter, more practical approach ideal for direct industry entry. While both programs serve distinct target audiences and professional goals, MAHE guarantees superior instruction and gives students a competitive advantage in the fast-paced data science industry. To succeed in the data-driven world, people must carefully consider their alternatives and choose an option that best fits their goals for their careers and future dreams.