School Of Data Science

B. Tech Computer Science and IT Cyber Security
M.sc Data Science
01

Bachelor's Program

02

Master's Program

In the information age, which we all are part of, data is the source of power. Google, Amazon, and the likes are able to control the governments and states because of the data that they possess. However, this data is useless unless we can draw meaningful insights and use it for business and predictive analytics. Data Science which is an interdisciplinary field that uses multiple scientific methods, processes, algorithms, and systems in order to extract valuable information, knowledge, etc., has become the pathway to employment and research opportunities across the World.

In the past decade, data scientists have been able to achieve the position of being the most sought-after job assets and are currently holding major portfolios in various organizations. These professionals are well-rounded, data-driven individuals with high-level technical skills who are capable of building complex quantitative algorithms to organize and synthesize large amounts of information that can answer various real-life problem statements by helping to build strategy within their organization. This coupled with the experience in communication and leadership skills offers a complete package to various organizations or businesses as a whole.

We at the School of Data Science, Symbiosis Skills and Professional University offer graduate and post-graduate courses to the students who want to make it their career. Our teaching pedagogy is based on experiential learning so that the student passing out of this University, is ready for the kinds of job roles that the Industry offers.

With a degree in Data Science coupled with skillsets acquired at the SSPU, you will be approached by the best names and offered a handsome CTC at the end of your academic journey. During this journey, you will get an opportunity to learn different progra+ bvmming languages, data warehousing, mining, Big Data Analytics, modeling as well as AI algorithms so that you can contribute effectively to the organization you join. Welcome to the School of Data Science, Symbiosis Skills, and Professional University – your pathway to success!!

Classrooms and Studios

5 No.

Computer Lab

1 No.

Lecture Rooms

2 No.

Seminar Hall

1 No.

Meeting Room

1 No.

Exhibition and Submission Room

1 No. Each

School Achievements

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Trained almost 90+ students of B.Sc./M.Sc. Data science on cutting edge cloud technologies.
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Trained almost 90+ students of B.Sc./M.Sc. Data science on cutting edge cloud technologies.
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Trained almost 90+ students of B.Sc./M.Sc. Data science on cutting edge cloud technologies.

Events

Graduated Students

1754

Placed Students

1754

Dr.Bandana Mahapatra
Gauri
Gauri

Frequently Asked Questions

What is your program's duration?

B.Sc. (Data Science) – 3 Year Program. However, after each year there is an internship module of 8 credits. The detail of internship is as under

2 months after second semester (During First year)

2 months after Fourth semester (During Second year)

6 months after fifth semester (During third year)

M.Sc. (Data Science – 2-year program

What courses can I use to meet the program's prerequisites?

It could be better if you come with a basic background of below mentioned subjects/Domains.

Computer Programming:

  • Problem solving, analysis and design of small-scale computational systems, and implementation using a procedural programming language.
  • Python is the language most utilized in our program, however students are able to apply with backgrounds in other languages.

Statistics:

  • Parameter estimation, introduction to the collection of data, elements of probabilistic modelling, basic probability computation techniques, discrete and continuous random variables and distributions, expectation and variance, central limit theorem, single-parameter confidence interval estimation, and exposure to any statistical software package.

Calculus or Linear Algebra:

  • Calculus: single variable calculus, limits, derivatives and integrals of algebraic exponential, logarithmic and trigonometric functions play a central role, applications of differentiation, and fundamental theorem of calculus.

Linear Algebra: systems of linear equations, matrix algebra, linear transformations, and determinants.

Does M.Sc. (Data Science) have thesis component.

Yes, In the final year (4th semester) a thesis must be submitted along with one research paper published in web of science/Scopus indexed journal/conference.

Features

Schedule

9.30 AM To 5.30 P.M

Schedule

9.30 AM To 5.30 P.M

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Village – Kiwale, Adjoining Pune Mumbai Expressway Pune - 412101, Maharashtra, India.

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