The three-year undergraduate B.Sc in Computer Science (Specialization in Artificial Intelligence and Machine Learning) curriculum covers a variety of studies and issues related to computer science, computer applications, and related services. This program's primary goal is to produce qualified professionals and research fellows who can use computer technology to operate in any industry around the globe.
Artificial Intelligence & Machine learning includes Python, R programming, Big Data Analytics, Computer Vision, Natural Language Processing, Neural Networks, Soft Computing in order to present a unified treatment of machine learning problems and solutions.
This program will focus on real time problem solving using AI & ML techniques. Machine Learning (ML) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.
Additionally, during these years, the student will be able to master the fundamentals of operating systems (OS), programming languages, and computer networking. Several factors contribute to the increased need for tech workers, given the pace of technological development in the modern world. Graduates of the BSc Computer Science programme can expect well-paying employment in various networking firms, computer hardware system firms, software development firms, other academic institutions, etc.
The following are the advantages of a B.Sc in computer science that students can make use of after enrolling in the programme:
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)
FRC Approval : Fees Rs. 65,000/- Yearly
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%
Artificial intelligence (AI) and machine learning (ML) are the two most popularly used technologies nowadays for building intelligent systems. AI simulates the capabilities of the human mind. Additionally, ML, a branch of AI, enables machines to learn from data without the need for heavy programming. Both actively participate in our daily lives, and it appears that doing without either will be difficult in the near future. So, by making it more effective, we want to advance this technology.
In a world that is changing quickly, artificial intelligence and machine learning are two hot fields that are driving the next industrial revolution. The global workforce has altered business growth without hurting people. A large software company estimated that the AI and ML revolution would result in the creation of 130 million new employees while eliminating 75 million traditional positions. According to estimates, by 2025, there won't be enough qualified applicants for 30% of the open positions. Many firms already confront a scarcity of competent individuals across different sectors. Technology skills are becoming more and more vital for technical professions, and businesses are looking for people with specific talents like data scientists, robotics specialists, AI engineers, blockchain developers, etc.
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.
Artificial intelligence (AI) and machine learning (ML) are the two most popularly used technologies nowadays for building intelligent systems. AI simulates the capabilities of the human mind. Additionally, ML, a branch of AI, enables machines to learn from data without the need for heavy programming. Both actively participate in our daily lives, and it appears that doing without either will be difficult in the near future. So, by making it more effective, we want to advance this technology.
In a world that is changing quickly, artificial intelligence and machine learning are two hot fields that are driving the next industrial revolution. The global workforce has altered business growth without hurting people. A large software company estimated that the AI and ML revolution would result in the creation of 130 million new employees while eliminating 75 million traditional positions. According to estimates, by 2025, there won't be enough qualified applicants for 30% of the open positions. Many firms already confront a scarcity of competent individuals across different sectors. Technology skills are becoming more and more vital for technical professions, and businesses are looking for people with specific talents like data scientists, robotics specialists, AI engineers, blockchain developers, etc.
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 imaginative educational plan of this program will empower understudies..
An imaginative educational plan of this program will empower understudies..
