Pick Your Degree: Bachelor in Data Science or Master in Data Science

 

Data science is a new field where the demand for skilled professionals is a lot higher than their availability. This has led to a bunch of data science institutes opening up in large numbers in order to provide the much-needed course material for students.

 

One may wonder about the need for choosing between a bachelor's degree and a master's degree. Which one will be better? What will be the difference? This blog aims to answer these questions by highlighting various aspects of these two degrees, and the benefits of both with respect to their target audience.

 

A Master's in data science is the most sought-after qualification for an aspiring data scientist. The course covers all the essentials of data science and is a great way to get an edge over other applicants.

 


A Bachelor's in Data Science will give you a solid foundation in computer programming and statistics. The degree program offers a rigorous, quantitative curriculum, including courses in mathematics, computer science, and statistics. It provides the ability to choose a concentration within the field of data science: Cybersecurity Data Science; Health Informatics Data Science or Marketing Analytics and Design.

 

The Master of Data Science (MDS) degree program includes courses focused on creating an understanding of the entire data science pipeline and providing an introduction to cutting-edge research in the field. There are three core areas that are covered in this Master’s degree program: data capture and modeling; big data management systems; and machine learning.

 

AAFT is among the best data science colleges in Delhi. With the three-year B.Sc. in Data Science degree they offer, you will learn how to conduct data-driven investigations and forecast trends. This course is intended to equip students for sophisticated data an alytics of qualitative data and competent solutions in many digital channels.

 


This course will prepare you for a variety of jobs in the fields of e-commerce, healthcare, banking, finance, manufacturing, and transportation.

 

After completion of the course the aspirants will be able to:

 

●     Understand comprehensive various data analysis methodologies

●     Data management of all kinds

●     Recognizing patterns and forecasting trends

●     In-depth knowledge of research techniques

  • Possibility to work on capstone projects

 

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