Key Subjects Covered in B.Tech in Artificial Intelligence and Data Science

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B.Tech in AI and Data Science

The world is currently experiencing a revolution and the revolutions are driven by Artificial Intelligence and Data Science. Industries worldwide are transforming towards the methodology of data and smart automation and a great requirement for AI & Data Science experts appears before various organizations. 

Substantialization B.Tech in AI and Data Science is one of the best decisions one may make today for it opens one to an array of knowledge as well as numerous career prospects. 

Suppose you are on the lookout for admission to the leading B.Tech in AI and Data Science colleges, it’s critical to understand what is studied in this course. 

To help you out, we, Universal Ai University present this blog on key subjects in B.Tech AI and Data Science Course.

 

B.Tech in AI and Data Science Course at Universal Ai University:

The B.Tech in AI and Data Science in Mumbai at the Universal Ai University is a modern program that provides students with the necessary knowledge to succeed in the occupation of the AI industry. 

 

Offering primary equipment containing machine learning, big data analytics, deep learning, and cloud computing, this program offers both in-idea instruction and practical working experience. 

 

By training graduates to pursue long-term and meaningful projects within a chosen industry and the contemporary IOT advancement, Universal Ai University equips learners with skills to fit high-paying jobs in the AI and data science job market.

Here are further details of the B.Tech AI and Data Science course at the best private university in Mumbai, Universal Ai University.

 

 

Course Level Undergraduate level
Duration  4 years
Eligibility Criteria The required eligibility criteria to pursue B.Tech in AI and Data Science at our college are as follows:

  • Applicants should have completed 10+2 at any recognized educational institution with a minimum of 50% aggregate score including physics, chemistry, and mathematics as compulsory subjects.
Admission Procedure Admission to this course at our college involves the following steps:

Step 1: Fill in the application form which costs INR 2000.

Step 2: Submit the required documents such as academic mark sheets, SOP, Letters of Recommendation, and extracurricular activities certificates if any.

Step 3: Appear for India’s 1s AI-based entrance exam – Eventuality. Exceptions for candidates who have already taken SAT / AP / ACT / PEARSON / UGAT / CUET are provided.

Step 4: Appear for the personal interview(PI) conducted online by our AI chatbot, Eventuality.

Admission will be provided based on the student’s performance in the entrance exam and personal interviews.

 

Going through the essential details of the B.Tech AI and Data Science course at Universal Ai University, now get to know about the major subjects included in this course.

 

Core Subjects in B.Tech in AI and Data Science Course:

The B.Tech in AI and Data Science syllabus is carefully constructed for basic awareness and training for the expertise demanded in both areas. Here’s a breakdown of the essential subjects covered.

 

Mathematics for AI and Data Science:

AI and Data Science draw a great deal of affection from mathematics. Topics such as mathematics, structural linear algebra, probability theory, statistics, and calculus are important as they compose the basics of computational algorithms, machine learning models, and data analysis.

 

Introduction to Machine Learning:

In this topic, students are presented with the basics of machine learning such as supervised and unsupervised learning, neural nets, and decision trees. It is necessary for the elaboration of models that make it possible for the device to achieve constructive experience without reference to commands.

 

Data Structures and Algorithms:

Fundamentally, advanced knowledge of data structures and algorithms is needed to address significant computing issues. The learning in this subject enables students to establish the basic framework for the building of efficient AI and to work with big data.

 

AI and Robotics:

Auxiliary AI with robots makes the machine do tasks on its own. In this subject, students study intelligent agents, natural language processing, pathfinding, and the role of AI in robots.

 

Big Data Analytics:

We know that big data is the lifeblood that has to be ingested to nourish the artificial intelligence models. Students will explore Big Data and related technologies such as Hadoop, Apache Spark, and NoSQL databases to process, analyze, learn, and gain insights from large data sets.

 

Deep Learning and Neural Networks:

Artificial intelligence is a part of deep learning demonstrated with the help of realistic neural networks that are organized similarly to the human brain. This subject overviews the convolutional neural networks (CNN), and recurrent neural networks (RNN), and focuses on their application in identifying images and translating languages among other uses.

 

Natural Language Processing (NLP):

NLP is a technique that involves processing or analyzing the natural language to derive some useful information from it.

One of the most promising topics under the computer science application of artificial intelligence is NLP. Students get to know how to develop systems that can analyze, comprehend and even synthesize human languages.

These subjects are meticulously curated by industrial experts to educate and train students for remarkable B.Tech AI and Data Science jobs. Get to know more.

 

Career Prospects After Pursuing B.Tech in AI and Data Science:

After the end of B.Tech in AI and Data Science, the graduate is opened to numerous opportunities in the job market. 

In several professions like AI engineers, data scientists, machine learning engineers, and data analysts, the field pays well and has interesting opportunities. 

Some of the highest B.Tech AI and Data Science salary packages are offered in major tech cities like Mumbai. As India is leading in creating AI programs, the graduates of any of these programs get a chance to fetch jobs in healthcare, finance, and entertainment sectors easily.

 

Conclusion:

The next frontier in the technology industry is Artificial Intelligence and Data Science and B.Tech in AI and Data Science will make you a leader in this field.

Irrespective of the various B.Tech AI and Data Science jobs or the B.Tech in AI and Data Science in Mumbai, choose a university that provides both a technical syllabus and industrial training. Make sure the course structure caters to the fast-rising trends of this competitive industry. 

So, welcome to a world of innovation, technology, and the opportunity of a lifetime with B.Tech in AI and Data Science.

 

FAQs:

  • What is the scope of AI and Data Science?

The study of AI and Data Science introduces students to one of the fascinating fast-growing technologies AI and cuts across various sectors including but not limited to Health, Banking and finance, e-commerce, and automobile. 

 

  • Is AI and Data Science a good career?

Of course, Artificial Intelligence and Data Science are promising domains from career aspects as organizations continue seeking ways to embrace technological advances, more specifically, automation and intelligence, thus offering a great career.

 

  • What is the fee for B.Tech AI?

The duration of the course of B.Tech in AI is four years and the fee structure differs from college to college usually it is 2-5 lakhs per year in India. Depending on the facilities and exposure being offered some private universities may be more expensive than others.

 

  • Which B.Tech course has the highest salary?

It is a fact that B.Tech courses in related fields like Artificial Intelligence and Data Science, Computer Science, and information technology provide the best wage packages in general.