Overview
A 3 years full-time course is a perfect blend of computer science, Business analytics and Artificial intelligence to understand large data sets and to craft new predictive models using algorithms, prototypes and customized analysis. Data Science graduates predict features of data using a dedicated algorithm and statistical tools/ models. Understanding the vast collection and storage of data over every domain of an organization requires an attentive eye to make business decisions, product design, forecasting future business value and market need using strategic planning and tools for the data-driven investigation of large data sets.
K.R. Mangalam University is trying to train the aspirants in such a way that they can compete with others and obtain a place in the organization that can offer them good salary packages and can become professionals. School of Engineering and Technology (
SOET) puts stress on the use of AI in the Big Data Analytics industry. In this programme, students will get a deep insight into the field of big data analytics, data science and how this industry is growing with the help of Artificial Intelligence.
Design and outline of the curriculum ensure that the graduate has the foundation of mathematics, statistics, artificial intelligence, machine learning, software development, programming language and skills, data mining, data warehousing, database management and data analysis. Data Science graduate learns to apply statistical methodology, data mining, predictive modeling, big data analytics, machine learning and data visualization for various market needs in business, marketing, supply chain, manufacturing, operations, human resource, healthcare and banking.
Eligibility Criteria
Candidates must have passed 10+2 examination or equivalent in any stream with mathematics as one subject and with minimum 50% aggregate marks.
Who should Pursue
Data Science is becoming a very popular field among students. This programme trains the students with the skills that are required to analyze and predict solutions in various fields of development. This course offers immense opportunities to the students who have an interest in various computer software. Students having good communication skills are welcomed in this course. Students who have a good command of programming should pursue this course as prior knowledge about the same will help them to grasp the curriculum effectively and help them to excel in this field. The strong business sense of the candidates will help various organizations in the near future.
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Benefits:
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Quick and Instant
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Includes tuition fees, books cost, hostel fees, airfare.
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Concessional rate of interest.
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Speedy disposal of loan applications
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Availability of the loan across the country
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Up to 100% loan with lower interest rate and zero processing fees
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Repayment tenure ranging from 5-15 years.
Career Options
Our students who wish to pursue B.Sc. (Hons.) Data Science are trained in such a way that they have a wide range of job profiles to choose from in future which can offer them good salary packages. Here are some of the career options which our students choose to pursue:
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Data Collector
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Data Processor
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Data Analyst
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Process Analyst
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Data Scientist
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Data Architect
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Data Mining Engineer
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Database Administrator
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Data Solutions Analyst
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Web and Social media analyst
Placements
In the digital world, many top companies offer good job opportunities to new talents with amazing salaries,
K.R. Manglam University provides good placement opportunities to students so that they can apply their skills and knowledge learned during their graduation. All organizations whether big or small, private or public hire B.Sc.(Hons.) Data Science graduates.
Some of the top recruiting companies visiting our campus to select students are mentioned below:
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HCL
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Oracle
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Accenture
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Amazon
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Deloitte
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IBM
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Cartesian Consulting
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MuSigma
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Wipro