B.Sc Data Science Syllabus

B.Sc Data Science


B.Sc Data Science Course Details

The Department of Computer Science offers a 3-year full-time B.Sc in Data Science programme. Students will use statistics, big data analytics, machine learning, and other disciplines in the interdisciplinary course "B.Sc Data Science" to understand an issue or phenomena involving a set of real-world data.

The discipline of data science is relatively new, but it is expanding quickly, offering students fascinating career prospects and upward mobility in their educational trajectories. Students who enrol in the B.Sc degree in data science gain a fundamental understanding of three distinct but linked fields of mathematics: computer science, statistics, and mathematics. In the data era of the 21st century, where analysis and manipulation of large amounts of detailed data are daily realities, understanding of data science has not only become necessary but increasingly pertinent. Students in the B.Sc in Data Science degree will gain knowledge in database management systems, computer programming, and data analysis, in addition to developing critical thinking skills. The B.Sc in Data Science programme is a first-degree programme that integrates the theoretical foundations of the performance of the methods and algorithms with the practical application of Data Science approaches.

Large multinational corporations are currently searching the globe for seasoned employees with a focus on data science, for which they are explicitly hiring applicants with a B.Sc in data science. B.Sc in Data Science is one of the degrees that advanced hi-tech, market research, and IT organisations most frequently favour. It satisfies their need to mine the vast amounts of data required for the expansion of businesses for insightful information, discoveries, or solutions. As a result, the demand for a B.Sc in Data Science among those interested in IT is quickly rising.

This adaptable academic curriculum offers many advantages in addition to opening up a wide range of future possibilities.

The course was created in collaboration with our Board of Studies, which is made up of academic, research, and industry specialists. As a result, the course is specifically designed to satisfy the needs required to keep up with the present and future advances in the industry. Wherever necessary, the student will have plenty of chances to get hands-on experience with contemporary software. Still, he or she will also be able to take advantage of the knowledge of one or more supervisors. Regular lectures are given by visiting professors who are authorities in their disciplines in addition to the permanent professors. In addition to the required coursework, the faculty hosts guest lectures by renowned statisticians and academics to foster a learner-centred environment.

Admission Process:

The Admission Committee of Indus University will admit students based on the merit list. Students need to register themselves by online form –

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Students can walk in and get admission to the course after interaction and approval by the admission committee.

For more information, call on +91 7622007507 or email admission.dcs2022@indusuni.ac.in.

Course Duration: 3 Years (6 Semesters)

Eligibility Criteria:

The following are the main eligibility criteria for admission to the B.Sc in Data Science programme:

Students must have received a science or commerce-related 10+2 diploma with mathematics and statistics as the primary disciplines.

For applicants to the Open Category: 45%

Candidates in the Reserved Category: 40%

FRC Approval : Fees Rs. 65,000/- Yearly  

It is an interdisciplinary field that analyses issues and difficulties emerging in numerous areas. B.Sc in Data Science is one of the most popular and promising programmes in terms of career alternatives and employment prospects, attracting the most tech-savvy enthusiasts.

Undermentioned are some primary objectives of B.Sc Data Science Course:

  • To introduce students and give them a solid basis for the approaching era of data science and artificial intelligence.
  • Prepare graduates to manage and envision various forms of data in order to achieve and carry out data-driven investigations.
  • Understand the idea and gain a thorough understanding of data science and analytics.
  • The program's goal is to give students a thorough grounding in the fundamental ideas of computer science, mathematics, and statistics so that they may build a solid knowledge base in the field of data science.
  • To investigate both quantitative and qualitative data, identify functional patterns, and forecast future trends.
  • Learn cutting-edge methods and approaches for extracting important or valuable insights from unprocessed data collections.
  • Extract insightful knowledge and useful data to plan and increase revenue.
  • To deliver solutions, including advanced data science topics and their applications.
  • Concentrate on fusing theory with actual practice and business application to improve comprehension and learning

One of the world's top 50 most popular careers is data science. This specialist course will teach you many areas of data collection, extraction, analysis, mining, data visualization, etc., across various businesses, healthcare, logistics, banking, etc., and is, therefore, the perfect moment for you to enroll in it.

  • The future of business and e-commerce, according to LinkedIn, is data science.
  • Along with increasing your income and obtaining a secure job, this procedure allows you to experiment with and learn new methods and technology.
  • Most IT workers desire a basic understanding of data science to learn how to apply analysis to various forms of data and obtain useful information from it.
  • Data science will generate over 11.5 million job openings by 2026, according to the "The Humans of Data Science" analysis by employment services company Michael Page India.

The US is regarded as the global IT hub, and the field of data science is vast and expanding quickly. Skilled data scientists are in great demand all across the world. As a result, after accumulating sufficient experience working on various projects, you may be qualified for a variety of international projects in the fields of marketing, healthcare, banking, and other related fields.

You may be hired for a variety of positions, including a manager or team leader. Professionals with the necessary skills are sent to the US, Canada, Germany, and other nations by large international corporations like Amazon, Publicis Sapient, Cognizant, E&Y, and Deloitte, among others. In these technologically advanced nations, you may have the chance to enhance your career after obtaining experience managing large-scale projects.

Job prospects after successful completion of B.Sc Data Science course:

The professional options for B.Sc Data Science is showcasing new platforms every year as the globe changes in accordance with the most recent trends and technologies. Most individuals today have entered the digital age, bringing new work roles into the global economy.

Below are some job profiles Data Science graduates can acquire in India:

For B.Sc data science graduates, the next top job prospects in India are listed:

Engineering Data Mining: To assess large amounts of data within enterprises, data mining engineers are responsible for creating, maintaining, and testing statistical & predictive data, models, and algorithms.

Engineer in Machine Learning: To address glaring business difficulties, machine learning engineers are tasked with designing and implementing machine learning applications, models, and algorithms.

Data architect or Data engineer: The organization’s minute data must be monitored by data engineers and data architects. They create a robust structural database that is hugely scalable and maintain it. Additionally, they are assigned responsibility for designing reports, assessing tasks, and developing database solutions.

Data Scientist: The principal investigators are data scientists. They get the ability to comprehend the challenges the business faces and suggest novel tactical solutions based on the analysis and processing of data.

Statistician: The statistician uses data visualization software or reports to interpret the findings and provide insightful recommendations or predictions.

Data Solution Analyst: Maintaining data that is specific to a client is what data analysts are mainly focused on. Data processing, data visualization, appraisal of the business' policies and practices, and lobbying are just a few of the things they do.

Business intelligence Analyst: Business intelligence analysts turn massive & complex data into useful information by utilizing predictive, prescriptive, and descriptive methodologies.

The Training & Placement Department (T & P Dept.) at Indus University has a separate team that bridges two essential ends: academia and industry. It demonstrates a link between educational institutions, university departments, and businesses.

The focal point for career counselling for university students pursuing studies in all programmes and streams is the Training & Placement Department (T & P Dept.). It provides students with thorough career options by assisting them in choosing and pursuing their ideal vocations.

It is an interdisciplinary field that analyses issues and difficulties emerging in numerous areas. B.Sc in Data Science is one of the most popular and promising programmes in terms of career alternatives and employment prospects, attracting the most tech-savvy enthusiasts.

Undermentioned are some primary objectives of B.Sc Data Science Course:

  • To introduce students and give them a solid basis for the approaching era of data science and artificial intelligence.
  • Prepare graduates to manage and envision various forms of data in order to achieve and carry out data-driven investigations.
  • Understand the idea and gain a thorough understanding of data science and analytics.
  • The program's goal is to give students a thorough grounding in the fundamental ideas of computer science, mathematics, and statistics so that they may build a solid knowledge base in the field of data science.
  • To investigate both quantitative and qualitative data, identify functional patterns, and forecast future trends.
  • Learn cutting-edge methods and approaches for extracting important or valuable insights from unprocessed data collections.
  • Extract insightful knowledge and useful data to plan and increase revenue.
  • To deliver solutions, including advanced data science topics and their applications.
  • Concentrate on fusing theory with actual practice and business application to improve comprehension and learning

One of the world's top 50 most popular careers is data science. This specialist course will teach you many areas of data collection, extraction, analysis, mining, data visualization, etc., across various businesses, healthcare, logistics, banking, etc., and is, therefore, the perfect moment for you to enroll in it.

  • The future of business and e-commerce, according to LinkedIn, is data science.
  • Along with increasing your income and obtaining a secure job, this procedure allows you to experiment with and learn new methods and technology.
  • Most IT workers desire a basic understanding of data science to learn how to apply analysis to various forms of data and obtain useful information from it.
  • Data science will generate over 11.5 million job openings by 2026, according to the "The Humans of Data Science" analysis by employment services company Michael Page India.

The US is regarded as the global IT hub, and the field of data science is vast and expanding quickly. Skilled data scientists are in great demand all across the world. As a result, after accumulating sufficient experience working on various projects, you may be qualified for a variety of international projects in the fields of marketing, healthcare, banking, and other related fields.

You may be hired for a variety of positions, including a manager or team leader. Professionals with the necessary skills are sent to the US, Canada, Germany, and other nations by large international corporations like Amazon, Publicis Sapient, Cognizant, E&Y, and Deloitte, among others. In these technologically advanced nations, you may have the chance to enhance your career after obtaining experience managing large-scale projects.

Job prospects after successful completion of B.Sc Data Science course:

The professional options for B.Sc Data Science is showcasing new platforms every year as the globe changes in accordance with the most recent trends and technologies. Most individuals today have entered the digital age, bringing new work roles into the global economy.

Below are some job profiles Data Science graduates can acquire in India:

For B.Sc data science graduates, the next top job prospects in India are listed:

Engineering Data Mining: To assess large amounts of data within enterprises, data mining engineers are responsible for creating, maintaining, and testing statistical & predictive data, models, and algorithms.

Engineer in Machine Learning: To address glaring business difficulties, machine learning engineers are tasked with designing and implementing machine learning applications, models, and algorithms.

Data architect or Data engineer: The organization’s minute data must be monitored by data engineers and data architects. They create a robust structural database that is hugely scalable and maintain it. Additionally, they are assigned responsibility for designing reports, assessing tasks, and developing database solutions.

Data Scientist: The principal investigators are data scientists. They get the ability to comprehend the challenges the business faces and suggest novel tactical solutions based on the analysis and processing of data.

Statistician: The statistician uses data visualization software or reports to interpret the findings and provide insightful recommendations or predictions.

Data Solution Analyst: Maintaining data that is specific to a client is what data analysts are mainly focused on. Data processing, data visualization, appraisal of the business' policies and practices, and lobbying are just a few of the things they do.

Business intelligence Analyst: Business intelligence analysts turn massive & complex data into useful information by utilizing predictive, prescriptive, and descriptive methodologies.

The Training & Placement Department (T & P Dept.) at Indus University has a separate team that bridges two essential ends: academia and industry. It demonstrates a link between educational institutions, university departments, and businesses.

The focal point for career counselling for university students pursuing studies in all programmes and streams is the Training & Placement Department (T & P Dept.). It provides students with thorough career options by assisting them in choosing and pursuing their ideal vocations.

B.Sc Data Science Course Details

Faculty Members

An imaginative educational plan of this program will empower understudies..

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B.Sc Data Science admission and eligibility

Laboratory

An imaginative educational plan of this program will empower understudies..

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Department Activities

Train the Trainers

The Department of Computer Science (DCS) organized two comprehensive "Train the Trainers" sessions. The sessions were held on October 28, 2023 and November 4, 2023 by Mr. Deepal Shah of DCS Department.The focus of these sessions was on "IoT Applications & Protocols." These training sessions aimed to equip trainers with in-depth knowledge and practical insights into IoT applications and various protocols used in this field.

Faculty Achievement

Dr. Disha A. Shah, Assistant Professor has published a research paper entitled "Quantitative Analysis of Co-Current Imbibition Phenomenon with Heterogeneity and Gravitational Effect" in the Scope Journal.

Alumni Talk on "AI in Industry"

On October 14, 2023, IIICT hosted an Alumni Talk on "AI in Industry'' for students enrolled in IMSC, IMCA, MSC, and MCA programs. The engaging session featured Ms. Jahnvi Patel, an alumna from the 2016-2021 batch of Indus University. With over 30 students and active participation from all IIICT faculty members, it proved to be an exceptionally informative event.