UG Degree in Bsc Data Science SPPU 2023-2024 | Opportunities
UG Degree in Bsc Data Science SPPU 2023-2024 | Opportunities

UG Degree in Bsc Data Science SPPU 2023-2024 | A Wide Range Of Professional Opportunities

An undergraduate (UG) program leading to a Bachelor of Science (BSc) in Data Science focuses on the study of data analysis, data mining, statistical modelling, and machine learning. It integrates parts of statistics, mathematics, and computer science to draw out useful information and understanding from huge and complicated datasets.

Savitribai Phule Pune University (SPPU) Admission Process -2023-2024

Greetings from Pune University Department of Technology

Admissions Open for Under Graduate Degree in BSC Data Science (Academic year 2022-23)

Duration: 3 years full time / 2 semesters (Each Semester- 6 Months)

Tuition Fees: 1.55Lakhs (Per Year)

Total Intake: – 240

Who Can Apply: for BSC Data Science 12th from Any Stream/ Diploma/MCVC.

For more information and apply for this Program: click here

A BSc in data science programme will generally cover the following important topics:

  1. Data Science Foundations:

    An introduction to the ideas, methodology, and guiding principles of data science. Understanding data kinds, data gathering, data cleaning, and data preparation are all part of this.

  2. Programming and software development:

    Expertise, particularly in the Python and R programming languages, which are widely used in data science. developing expertise in data processing, software engineering, and visualisation.

  3. Mathematical and Statistical Foundations:

    Establishing a strong base in mathematical ideas and statistical techniques. Calculus, linear algebra, probability theory, hypothesis testing, regression analysis, and multivariate analysis are some examples of possible topics.

  4. Machine Learning:

    Research into the algorithms and methods used in machine learning, such as deep learning, decision trees, support vector machines, neural networks, and supervised and unsupervised learning.

  5. Big Data and Data Mining:

    Methods for identifying patterns, trends, and insights in vast databases. Data clustering, association rule mining, and text mining are examples of possible topics. exposure to large data frameworks and technologies like Hadoop.

  6. Database management:

    knowledge of data warehousing, SQL, and database systems. learning database design and querying techniques for effective data storage and retrieval.

  7. Data Visualisation:

    Methods for clearly expressing data insights via visual displays. using software to create visualisations, such as Tableau, Power BI, or matplotlib.

Data privacy, security, and appropriate data management are among the ethical and legal issues that data scientists should be aware of.

  1. Capstone projects:

    Real-world projects that allow students to apply their data science knowledge practically. Students could focus on dataset analysis, predictive model construction, or solving particular business challenges.

It’s crucial to remember that depending on the institution or college delivering the programme, the precise curriculum may change. Some colleges may offer BSc Data Science specialisation tracks that allow students to concentrate on a particular sector or application field, such as finance, healthcare, or social sciences.

Get Detailed Information@

Like to read conclusion of The Kerala Story movie click here Kerala Story

Carrier after completed Bachelor degree in Data Science

Graduates of BSc Data Science programmes are prepared to work as data scientists, data analysts, machine learning engineers, or data engineers in a variety of sectors that depend on data-driven decision making. They could also decide to pursue graduate-level study, such as a Master’s in data science or a similar discipline.

You have a wide range of professional opportunities after earning your undergraduate degree in BSc data science. Here are some job options you might want to think about:

  1. Data Scientist:

    If you have a solid background in data science, you may work as a data scientist to assist businesses in analysing and deciphering large data sets in order to draw forth insightful conclusions and guide decision-making.

  2. Data Analyst:

    You can concentrate on gathering, organising, and analysing data as a data analyst to find trends, patterns, and insights that can be applied to company strategy and process optimisation.

  3. Machine Learning Engineer:

    With a specialisation in machine learning, you may work as a machine learning engineer, designing and putting into practise models and algorithms to provide intelligent systems and solutions for predictive analytics.

  4.  Data Engineer:

    The infrastructure required for storing, analysing, and managing massive datasets must be designed and maintained by data engineers. To assure data availability and dependability, they create and improve data pipelines and collaborate closely with data scientists and analysts.

  5. Business Intelligence Analyst:

    In this position, you would collect and analyse data from multiple sources to provide reports, dashboards, and visualisations that assist organisations in making strategic business choices.

  6. Data Consultant:

    As a data consultant, you might advise and assist businesses with data-related issues. This might be offering guidance on data strategies, putting data governance frameworks into place, or helping with initiatives that are data-driven.

  7. Researcher/Academic:

    If academics and research are your passions, you may work in the field of data science as a researcher or academic. This career path frequently include conducting research, writing academic articles, and imparting data science knowledge at universities or research facilities.

Keep in mind that data science is a dynamic discipline that is always changing. Your employment chances will be significantly improved by staying current with new developments, constantly acquiring new skills, and obtaining real-world experience through internships or projects.

Schedule of Post Graduate / Graduate / Integrated / Interdisciplinary Courses of Pune University (SPPU)(Online Entrance Exam) For Academic Year 2023-2024

  1. Start of Application : 10th May, 2023
  2. Last date of filling Online Application UG Courses(regular Fee) : 10th June, 2023(11.59 pm)
  3. Last date of filling Online Application PG Courses(regular Fee) : 17th June, 2023(11.59 pm)
  4. Last date of filling Online Application with Late Fee UG Courses : 17th June, 2023(11.59 pm)
  5. Last date of filling Online Application with Late Fee PG Courses : 08th July, 2023(11.59 pm)

  6. Schedule of OEE : Detailed schedule of date & time of each exam and mode of exam published on website: View Notification
  7. Duration of the Online Entrance Exam : 2 Hrs (Inclu. of both the sect.)

Schedule of Various Diploma Courses of SPPU (Online Entrance Exams)  For Academic Year 2023-2024

  1. Start of Application: 10th May, 2023 
  2. Last date of filling Online Application(regular Fee) : 10th June, 2023(11.59 pm) 
  3. Last date of filling Online Application with Late Fee : 17th June, 2023(11.59 pm) 
  4. Schedule of OEE: Detailed schedule of date & time of each exam and mode of exam will be announced later on SPPU website
  5. Duration of the Online Entrance Exam : 1 Hrs (Inclu. of both the sect.)

For More Details, Please Visit:

Department of Technology, Pune University.

Between 10am to 5:30pm Monday to Saturday

Thanks & Best Regards,

Phone: 9325787926

Phone: 9503819716

Phone: 7387752839

Phone: 7066949290

Read about Organic Saffron Farming click here organic saffron


This Post Has One Comment

Leave a Reply