School of Data Science 4

Program Details
The School of Data Science and CS & IT aims to persistently aspire to achieve excellence in computing disciplines. It is being followed in the computation of contemporary expectations across its range of academic programs. The main goal is to create future computer graduates, design and implement systems that include the convergence of software and hardware devices, employ creative approaches to programming and problem solving, create large-scale software systems, and build data/computing infrastructure for an organization.
The technology is new and the techniques of committing crimes are also new. It is no brainer that new approaches, practices, technology, and tools are also required to tackle such crimes from identification, prevention, and curation. The course design is intended to create skills within the students so that they can manage such circumstances efficiently and help the industry save billions of dollars.
Data Science is quite a popular field that has practical application in various domains including Academia, Business Sectors, R&D, and many more sectors which enables us to make effective decisions in day-to-day activities. B.Sc in Data Science course aims to provide an opportunity for all students to master the skill sets specific to Data Science with a research bent. The curriculum supports the students to obtain adequate knowledge in the theoretical aspects with hands-on experience in relevant domains and tools. Our students gain exposure to research models and industry-standard applications in Data Science through Guest Lectures, Seminars, Projects, Internships, GDs, and Industry activities.
The curriculum of BSc Data Science at SSPU aims to build a program that makes our students fully qualified, knowledgeable in Application Creation, Data Science, and Machine Learning. Highlights of Program Project-based learning through industry collaboration Focus on Skill building Practical implementation Every Year Internship opportunity to gain relevant industry exposure The workshop, Guest Lectures, and interactive sessions with industry experts

Director's Desk

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!!
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” ANALYSIS OF IOT BASED WEATHER MONITORING USING FUZZY LOGIC”
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Indian Design Patent Granted Dated Nov 2021.
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A WEARABLE ELECTRO ACUPUNCTURE DEVICE FOR COVID TREATMENT AND ITS METHOD THEREOF
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Winner of Zeal Covid-19 Hackathon
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Anjaneya Turai a 1st Year Student has successfully completed a workshop on the topic “Artificial Intelligence” organized by IIT Bombay. He has also successfully completed the exam on “Fundamentals of Digital Marketing.
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Our Most
Popular Teachers

Prof. Sumit Vasantrao Dubal
Prof. Rajkumar Baghel
Prof. Roshan Devidas Bhagat

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

Well qualified faculty that includes the faculty from IITs and NITs.
Good connect with industry, I,e, signed MOU with some of the best IT companies
100% internship assistance to the students.
Frequently organizing workshops, expert lectures, short term training on cutting edge technologies.
Well maintained computer labs.
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My journey as a student of B.Sc. Data Science by far has enabled me to implement various skills in real-life scenarios thanks to the hands-on, practical approach to teaching by our highly qualified professors. We are given various projects and assignments along with continuous assessments for self-evaluation and tracking our progress.
BBA FinTech
Yutika Rege
Program: B.Sc. in Data Science
“My life at Symbiosis Skills And Professional University made me stronger and took me a step ahead for being an independent woman. I am thankful to all the teachers who supported us and corrected us throughout our semester. I loved the infrastructure of the University and its International life.
Gritika Pardeshi
Program: B.Sc. in Data Science
“Absolutely fantastic place to study. Lovely friendly staff that is always on hand to help if you have any problems. The staff is more than qualified to teach lessons. Staff is great if you need anyone to help. I feel safe whilst I’m studying both in and around campus.
Sahil Pansare Batch of 2019 - 20
Program: B.Sc. in Data Science
“My experience at the School of Data Science at Symbiosis Skills and Professional University has been one to cherish and learn from. Given the university is young and the conception of data science as a bachelor’s degree has been newly founded, the course has gradually evolved and become better and more practical as each term passes. The degree encapsulates a thorough array of interdisciplinary modules from foundational mathematics to programming and big data to machine learning.
Suryajiraje Deepak Bhosale
Program: B.Sc. in Data Science
“My experience at the School of Data Science at Symbiosis Skills and Professional University has been one to cherish and learn from. Given the university is young and the conception of data science as a bachelor’s degree has been newly founded, the course has gradually evolved and become better and more practical as each term passes. The degree encapsulates a thorough array of interdisciplinary modules from foundational mathematics to programming and big data to machine learning.
Suryajiraje Deepak Bhosale
Program: B.Sc. in Data Science
B.Sc. Data Science
M.sc Data Science
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Bachelor's Program

B.Sc. Data Science
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Master's Program

M.Sc Data Science
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