B.Sc Computer Science Syllabus

B.Sc Computer Science (Artificial Intelligence and Machine Learning)


B.Sc Computer Science (Specialization in Artificial Intelligence and Machine Learning) Course Details:

At Indus University,  The three-year undergraduate program B.Sc. in Computer Science (Specialization in Artificial Intelligence and Machine Learning) is designed to provide students with in -depth knowledge of the ever changing field of computer science. This program delivers concepts of  programming languages, algorithms, database management, and software development with a pinpoint focus on experiential learning and practical projects. Students opting for this program not only gain the skills necessary to address real-world challenges but also look forward to taking the technology to an advanced level. Experienced faculty members and state-of-the-art facilities of Indus university ensures that students receive good quality education and keep updated of the recent advancements in the field.

Primary  objective of the program is to produce qualified professionals who can use computer technology in any industry around the globe. The three-year undergraduate program B.Sc. in Computer Science (Specialization in Artificial Intelligence and Machine Learning) includes Python, R programming, Computer Vision, Natural Language Processing, Deep Learning, IoT, Big Data Analytics,  Neural Networks, Pattern recognition and Soft Computing etc in its curriculum.

Students who are looking for Best B.Sc. Computer Science program

This program focuses on real-time problem-solving using AI & ML techniques. Machine Learning (ML) allows machines to learn from experience, adjust to new inputs and perform human-like tasks. Additionally, during the course,  the student will be able to master the fundamentals of operating systems (OS), programming languages, and computer networking. In the present scenario, there is a need for skilled candidates to match with the pace of technological development in the modern world. Graduates of the B.Sc. Computer Science (AI-ML) programs can expect well-paying employment in various organizations involved in providing services related to computer applications, software development etc.

Admission Process:

According to the admissions committee, students are accepted into Indus University based on merit. Students must complete an online registration form and submit it.

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After communicating with and receiving approval from the admissions committee, students can walk in and enroll in the course.

Call +91 7622007507 or send an email to admission.dcs2020@indusuni.ac.in for additional details.

Course Length: 3 Years (6 Semesters)

Eligibility Criteria:

Students can only be admitted to the B.Sc Computer Science programme if they meet the requirements for admission set forth by the institute. The applicants will not be able to enroll in the institute if they are unable to meet the eligibility requirements. Various universities and institutions have different eligibility requirements. Below are the essential requirements for admission to the B.Sc in Computer Science programme:

For Reserved category candidates: 40%

  • An aptitude for applying computer and mathematical expertise pertinent to the discipline.
  • An aptitude for identifying, formulating, and creating solutions to computational problems.
  • The capacity to plan, carry out and assess a computational system to satisfy desired needs under realistic circumstances.
  • An aptitude for working well in teams to achieve design, testing, or implementation goals for shared computing.
  • Understanding the computing profession's professional, ethical, legal, protection, and societal duties.
  • A capacity for successful interaction and communication with many stakeholders.
  • The capacity to analyze how computing affects society, businesses, and people.
  • Acceptance of the need for and capacity for resumed professional development.
  • The capacity to employ the appropriate methods, abilities, and resources required for computer practice.
  • The ability to describe and build computational systems using mathematical foundations, algorithmic principles, and computer science theory in a way that indicates an awareness of the tradeoffs inherent in design decisions.
  • The capacity to build software systems of various complexity using design and development approaches.

Scope of B.Sc. Computer Science:

Students after graduating with B.Sc. in Computer Science (AI-ML) can be benefited because of following scope and opportunities:

  • The Indian IT sector is expected to expand significantly in the coming years and it contributes 10% to the GDP. As a result, a lot of employment opportunities will be there in the future in the IT industries.
  • The graduates may also make the world safer by working as security engineers who shield everyone from hackers and other harmful software.
  • Because the subject of study is constantly evolving, the candidates would also be allowed to do research.

You can choose a career as a: 

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Business Intelligence Analyst
  • Big Data Engineer
  • Cloud Architect

Many degrees are available in artificial intelligence and machine learning, some of which are more specialized than others. The B.Sc in Artificial Intelligence and Machine Learning is one such degree programme. This three-year programme helps students become knowledgeable in this area through theory and practical workshops.

Candidates who complete the programme will be able to work as:

Big Data Engineer: A data engineer is not directly involved in the creation of artificial intelligence (AI). He is in charge of gathering, conserving, and analyzing the data for later use. They are essential to the company's overall growth of machine learning procedures.

Business intelligence developer: A business intelligence developer's job is to examine and comprehend market trends thoroughly so they can be followed while keeping the company's profits in mind.

It is their duty to comprehend the company's ongoing operations and spot any issues so that the appropriate solutions can be offered. To put it briefly, a business intelligence developer's job is to make work more accessible and more productive.

Data Scientist: Data scientists gather and evaluate a variety of business outcomes. They must offer insightful deductions that may be used to address business-related issues in the future. After reviewing the previous reports, they are obligated to provide future projections.

Machine Learning Engineer: Building self-running software to support machine learning algorithms is the responsibility of machine learning engineers. They must accumulate the necessary knowledge to build, test, review, and improve these programmes and hence the whole services/products.

AI Data Analyst: Data mining, data cleansing, and data interpretation are tasks carried out by those with the title "AI Data Analyst." They are essential in clearing out surplus data from systems and making room for the intended data.

Robotics Scientists: Robotics scientists aim to create, maintain, and enhance the productivity of robots. Globally, there is a high demand for robotics scientists. With more businesses attempting to complete robotic projects, this position offers excellent pay and limitless career advancement opportunities.

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.

  • An aptitude for applying computer and mathematical expertise pertinent to the discipline.
  • An aptitude for identifying, formulating, and creating solutions to computational problems.
  • The capacity to plan, carry out and assess a computational system to satisfy desired needs under realistic circumstances.
  • An aptitude for working well in teams to achieve design, testing, or implementation goals for shared computing.
  • Understanding the computing profession's professional, ethical, legal, protection, and societal duties.
  • A capacity for successful interaction and communication with many stakeholders.
  • The capacity to analyze how computing affects society, businesses, and people.
  • Acceptance of the need for and capacity for resumed professional development.
  • The capacity to employ the appropriate methods, abilities, and resources required for computer practice.
  • The ability to describe and build computational systems using mathematical foundations, algorithmic principles, and computer science theory in a way that indicates an awareness of the tradeoffs inherent in design decisions.
  • The capacity to build software systems of various complexity using design and development approaches.

Scope of B.Sc. Computer Science:

Students after graduating with B.Sc. in Computer Science (AI-ML) can be benefited because of following scope and opportunities:

  • The Indian IT sector is expected to expand significantly in the coming years and it contributes 10% to the GDP. As a result, a lot of employment opportunities will be there in the future in the IT industries.
  • The graduates may also make the world safer by working as security engineers who shield everyone from hackers and other harmful software.
  • Because the subject of study is constantly evolving, the candidates would also be allowed to do research.

You can choose a career as a: 

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Business Intelligence Analyst
  • Big Data Engineer
  • Cloud Architect

Many degrees are available in artificial intelligence and machine learning, some of which are more specialized than others. The B.Sc in Artificial Intelligence and Machine Learning is one such degree programme. This three-year programme helps students become knowledgeable in this area through theory and practical workshops.

Candidates who complete the programme will be able to work as:

Big Data Engineer: A data engineer is not directly involved in the creation of artificial intelligence (AI). He is in charge of gathering, conserving, and analyzing the data for later use. They are essential to the company's overall growth of machine learning procedures.

Business intelligence developer: A business intelligence developer's job is to examine and comprehend market trends thoroughly so they can be followed while keeping the company's profits in mind.

It is their duty to comprehend the company's ongoing operations and spot any issues so that the appropriate solutions can be offered. To put it briefly, a business intelligence developer's job is to make work more accessible and more productive.

Data Scientist: Data scientists gather and evaluate a variety of business outcomes. They must offer insightful deductions that may be used to address business-related issues in the future. After reviewing the previous reports, they are obligated to provide future projections.

Machine Learning Engineer: Building self-running software to support machine learning algorithms is the responsibility of machine learning engineers. They must accumulate the necessary knowledge to build, test, review, and improve these programmes and hence the whole services/products.

AI Data Analyst: Data mining, data cleansing, and data interpretation are tasks carried out by those with the title "AI Data Analyst." They are essential in clearing out surplus data from systems and making room for the intended data.

Robotics Scientists: Robotics scientists aim to create, maintain, and enhance the productivity of robots. Globally, there is a high demand for robotics scientists. With more businesses attempting to complete robotic projects, this position offers excellent pay and limitless career advancement opportunities.

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 (AI-ML) in Indus University

B.Sc Computer Science Course Details

Faculty Members

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B.Sc Computer Science admission and eligibility

Laboratory

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Department Activities

Train the Trainer: Exploring Generative AI and Its Impact on the Future of Education:

Indus Institute of Information & Communication Technology, Department of Computer Science has organized a session under “Train the Trainer” on the topic of “ Generative AI & The Future of Education” on May 11, 2024. The resource person was Ms. Manisha Bhatol (Assistant professor, IIICT).The expert session underscored the transformative potential of Generative AI in shaping the future of education. While acknowledging its benefits, the session emphasized the importance of addressing challenges and ethical considerations to harness the full potential of Generative AI in promoting accessible, personalized, and equitable learning experiences for all students and faculties.

Knowledge Sharing Session on ‘The Tactics for Data Centre Design’

Dr. Hardiksinh Rayjada from the Department of Computer Science (IIICT) had conducted a Knowledge Sharing Session on Topic “The Tactics for Data Centre Design”. This session aimed to clarify complex concepts and empower participants with practical strategies for optimizing data center architecture.

Workshop on Examination Reforms

Indus Institute of Information and Communication Technology collaborated with IQAC to organize a Workshop on Examination Reforms, graced by Honorable Executive President- Dr. Sandeep Chakrovorty, Deputy Registrar- Dr. Suketu Jani, HoD CS - Ms. Bhavna Hotchandani, and Director IICT-Dr. Rajeev Mathur. Hon’ble Executive President, Dr. Sandeep Chakrovorty addressed the participants by underlining the significance of such initiatives in enhancing the quality of education.. Dr. Rajeev Mathur commenced the workshop by delving into the historical context of education in ancient India, contrasting it with the contemporary examination-driven system inherited from the British colonial era. Dr. Rajeev Mathur advocated for the implementation of Bloom's taxonomy, which categorizes learning into cognitive, affective, and psychomotor domains, as a framework for designing examination papers. Participants actively engaged in discussions and practical exercises, gaining insights into crafting question papers that assess various aspects of student learning and development.