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

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

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B.Sc Data Science admission and eligibility

Laboratory

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Department Activities

Certificate Course on Introduction to Programming Using MATLAB

The Department of Computer Science at the Indus Institute of Information and Communication Technology, Indus University successfully organized an FDP from June 10th to 14th, 2024. This Faculty Development Program aimed to enhance the academic and research skills of faculty members, research scholars, and students from various institutions. It focused on two key tools: LaTeX, a high-quality typesetting system for scientific and technical documents, and SPSS (Statistical Package for the Social Sciences), a comprehensive tool for statistical analysis. The FDP aimed to equip educators with essential skills to effectively utilize these tools in their teaching and research endeavors. A total of 123 participants, including faculty members, research scholars, and students from universities across India, actively took part in the program.

Faculty Development Programme on LaTeX and SPSS

The Department of Computer Science at Indus Institute of Information and Communication Technology organized a certificate course titled "Introduction to Programming using MATLAB" from June 3rd to 7th, 2024. The course was attended by 18 participants, who were introduced to the fundamentals of the MATLAB environment and guided through its basic features.

Deeksharambh - Induction and Student Empowerment Program 2024

The Department of Computer Science at Indus Institute of Information and Communication Technology recently held the "Deeksharambh 2024" orientation on June 29, 2024, for the incoming students of BCA, BSc. (CA & IT), BSc. CS (Specialization in Artificial Intelligence and Machine Learning), BSc. Data Science, and BSc. Cyber Security for the batch 2024-2027. Dignitaries on stage warmly welcomed and interacted with the new students and their parents, displaying great enthusiasm. Special guest speakers HG Dev Pujya Nimai Das and HG Dharmasetu Gaur Prabhu from ISKON Temple, Ahmedabad, delivered an inspiring session on “Pillars of Leadership,” encouraging and motivating students as they embark on their educational journey. Additionally, Ms. Gladis Nair, Sr. Manager of L&D at iCreate, spoke on the importance of leadership and dedicated study. The orientation included sessions on iSAC, ICSII, department introductions, and alumni interactions featuring Ms. Biyanka Shah (Batch 2016-19, QA Engineer at Oracle) and Mr. Stavan Shah (Batch 2015-17, Project Manager at Dash Technologies). There were also sessions on T&P, ERP, the examination scheme and a campus visit.