MSc Data Science India focuses on analysing and manipulating data and deals with various important principles of Data Analytics. This programme at MSc Data Science colleges in India provides students with a wide range of opportunities.
After pursuing an MSc in Data Science from India, students get equipped with various security measures to ensure that data is transferred among systems in a highly secure and protected way.
If you are looking for the best MSc Data Science colleges in Bangalore, you must consider the course offered by JAIN (Deemed-to-be-University). The course helps students develop analytical, logical, and managerial skills to implement business intelligence.
A student who has passed a 3-year undergraduate degree (level 5.5, a total of 120 credits) shall be eligible for admission to 2-year M.Sc. programmes.
Preference will be given to candidates who have secured at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
However, students who have not studied requisite courses from Science discipline related to the respective programmes will have to undertake the prescribed bridge course(s).
School of Sciences
#34, 1st Cross,
JC Road, Bamgalore-560027
P: +91 80 43430100
JAIN Knowledge Campus, #44/4, District Fund Road,
Jayanagar 9th Block Campus,
Bangalore-560069
P: +91 8951362413
Studying MSc in Data Science will help students in:
Career enhancement programmes at MSc Data Science colleges in Bangalore are conducted according to the demands of the industry. The teachers and students enthusiastically work towards the programme’s objectives. Evaluation is based on tests, seminars, projects, publications, presentations, and student examinations. We conduct various events like conferences, workshops, seminars, corporate training, and other programmes to develop students' skills and make them industry-ready.
JAIN (Deemed-to-be-University) offers the MSc in Data Science in Bangalore. It unlocks a wide range of exciting career opportunities for progression in the future. Businesses across industries have realised the importance of using data, leading to a growing demand for data science professionals. LinkedIn has called The Data Scientist career “the most promising career” and the “best job in America” by Glassdoor. Data scientists can work in various industries, including IT, education, healthcare, business, research, and more, and they can have a variety of professions and functions. Depending on the skills one possesses, one can work as a Data Scientist, a Data Engineer, a Data Analyst, or a Big Data Manager.
MSc Data Science eligibility requires candidates to have a Bachelor's degree from a recognised University with Mathematics/Statistics/Computer Science as a mandatory subject, regardless of their chosen stream (Science/Commerce/Arts. A thorough knowledge of the MSc Data Science syllabus and an MSc Data Science and Analytics degree offer numerous career options. A survey says that by 2026, the world will need 2.6 million data scientists. Apart from pursuing roles like Data Analysts or Data scientists, interested students can also pursue a PhD or research work in Data Science after pursuing an MSc in Data Science.
Yes. Coding is an essential skill for data science. It helps data scientists analyse data, create models, and communicate findings.
A Master's in Data Science can be challenging since students need a solid background in Math, Statistics, and Computer Programming. The curriculum also involves learning new technologies and tools like SQL, Python, R, and machine learning libraries. However, it can be rewarding with effective time management and a well-planned study routine.
To be eligible for an MSc in Data Science, students typically need a Bachelor's degree in Computer Science/ Mathematics/ Statistics or any related and relevant field with a minimum aggregate of 60% from a recognised university.
Data analytics has a wide scope, including business, healthcare, finance, marketing, and more. It can help businesses make better decisions by analysing data.
Data Science and Analytics is a domain that covers activities such as collecting, cleansing, and analysis of information using statistical methods, machine learning, and other computational techniques. It draws out valuable information and gives well-timed predictions about upcoming trends.