B.Sc Data Science Syllabus

B.Sc Data Science


B.Sc Data Science Course Details

Indus University, Institute of Information & Communication Technology, Department of Computer Science offers a 3-year full-time Under Graduate program ‘B.Sc. in Data Science’. The B.Sc. in Data Science is a program that integrates the theoretical concepts of computing, statistical methods and computer algorithms with the large amount of data available for analyzing future needs. This program has the objective to develop students with the expertise in data science technology which includes data analytics, data mining etc. Students are provided with the exposure of real world applications through hands-on projects, using industry-standard tools and technologies. Expert and dedicated faculty members along with industrial experts are training the students to develop the skills and knowledge & contribute to the changing field of data science.  B.Sc. in Data Science will prepare the students for rewarding careers in Big Data, data analytics and beyond. Students will gain knowledge in database management systems, Big Data Analysis, Data Warehousing & Mining, Data Visualization, Predictive Modeling, Cloud Computing, Machine Learning, Deep Learning in addition to developing critical thinking skills, statistics, and mathematics.

Students who are looking for BEST B.Sc. Data Science Program

This program offers students fascinating career prospects and upward mobility in their educational trajectories. Large multinational corporations are currently searching the globe for skilled employees working in the data science domain.

Key Features:

Admission Process:

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

Apply Now

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%

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

Scope of B.Sc. Computer Science:

As the world is predominantly driven by data, the future scope of data science is very promising. This program will transform the industrial world into data driven computing of future needs. Industries involved in advanced hi-tech machinery, finance, healthcare, market research, and IT organizations are giving preference to the students having degree ‘B.Sc. in Data Science’ because it satisfies their need to mine vast amounts of data required to expand businesses. As a result, a B.Sc. in Data Science program is one which will grow the career of students exponentially along with the growth of Industries.

You can choose a career as a: 

  • Data Scientist
  • Big data engineers
  • Data Analyst

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

Scope of B.Sc. Computer Science:

As the world is predominantly driven by data, the future scope of data science is very promising. This program will transform the industrial world into data driven computing of future needs. Industries involved in advanced hi-tech machinery, finance, healthcare, market research, and IT organizations are giving preference to the students having degree ‘B.Sc. in Data Science’ because it satisfies their need to mine vast amounts of data required to expand businesses. As a result, a B.Sc. in Data Science program is one which will grow the career of students exponentially along with the growth of Industries.

You can choose a career as a: 

  • Data Scientist
  • Big data engineers
  • Data Analyst

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.



Highlights of B.Sc. Computer Science (Data Science) in Indus University

B.Sc Data Science Course Details

Faculty Members

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B.Sc Data Science admission and eligibility

Laboratory

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Department Activities

Expert Lecture on Artificial Intelligence

On October 17, 2024, the Association of Computer Science and Information Technology (ACSIT) and DCS, IIICT organized an Expert Lecture on Artificial Intelligence at the MBA Seminar Hall of Indus University. Students and faculty explored AI fundamentals, and its historical milestones, and delved into the complexities of Black Box AI and its interpretability challenges. The session provided valuable insights into AI’s potential and was a successful peer learning experience.

Parents-Teachers Meet

The Department of Computer Science at IIICT organized a Parents-Teachers Meeting on October 16, 2024, which saw the participation of over 15 parents from various courses The meeting facilitated productive interactions between parents, subject teachers, and mentors, focusing on students' performance in individual subjects, classroom discipline, and attendance rates. Parents expressed satisfaction with the department’s academic approach, and CIE marks across all theory subjects were reviewed and discussed with them.

Certification Course on "Film Making Techniques"

The Department of Computer Science at the Indus Institute of Information & Communication Technology, Indus University, successfully organized a certification course on "Film Making Techniques" from August 30 2024, conducted by Dr. Hardik Singh Rayjada. Participants thoroughly enjoyed learning various techniques and mastering key aspects of production planning, scriptwriting, and film release. Over 20 participants benefited from this enriching experience.