| Course Name: | Bachelor of Technology in Computer Science -Artificial Intelligence & Machine Learning |
| Course Institution: | Sharda University |
| Course Department: | School of Engineering and Technology (SET) |
| Course Duration: | 48 month(s) |
| Course Fee: | INR 750000 |
| Course Mode: | full time regular classroom |
| Course Location(country): | India |
| Course Location(city): | Greater Noida |
| Course Level: | Bachelors |
B.Tech CSE in Artificial Intelligence (AI) & Machine Learning by Sharda University is a regular four-year program. It has a primary focus on exploring the aspects of AI and Machine Learning in engineering.
What is Artificial Intelligence (AI) & Machine Learning?
As the name suggests, Artificial Intelligence (AI) is the intelligence used by a computer or a device. It is the ability of a machine to perform tasks that are usually performed by humans. For example, Chess-playing computers, self-driving cars, Alexa, Google Assistant, Siri, etc. All these are used in our day-to-day lives. They are all Artificial Intelligence (AI).
On the other hand, Machine Learning is a sub-branch of AI. It is the application of AI in a way that a device learns from experience. Machine learning is done so that a device can improve itself on its own from the mistakes it makes.
Both AI and Machine Learning is essential in today’s lives. We use AI in our daily routine. Let us read further to understand what Sharda University offers with B.Tech CSE in AI & Machine Learning.
Why should you study B.Tech CSE in AI & Machine Learning by Sharda University?
In B.Tech CSE in Artificial Intelligence (AI) & Machine Learning by Sharda University, young minds are educated about machines’ potential, the significance of data, and the art of combining them to execute complex tasks that require real-time decision-making.
The world races to make machines smarter, more intuitive, and interactive. This renders a lot of tasks with a lot of variables, easy to perform. To develop this capacity of computers to catch up with human responses and decision making, fields like AI and Machine Learning are absolutely crucial.
Sharda University aims at world-class excellence in Artificial Intelligence and Machine Learning and stands as a pioneer in global education.
Curriculum
The curriculum of B.Tech CSE in AI & Machine Learning by Sharda University is divided into eight semesters. The first four semesters look like this-
Duration
B.Tech CSE in Artificial Intelligence (AI) & Machine Learning by Sharda University is a full-time four-year course. Each year is split into two Semesters.
Fees
The fees structure of B.Tech CSE in AI & Machine Learning by Sharda University is given below-
Eligibility Requirements
To enroll in B.Tech CSE in Artificial Intelligence (AI) & Machine Learning by Sharda University, specific eligibility criteria need to be met. You need to have-
- Scored at least 60% marks in matriculation or equivalent education
- Pass 10+2 with at least 70% aggregate marks
- At least 60% marks in PCM/PCB, with no gap between 10th and 12th
- At least 50% marks in Maths
Along with the above conditions, the candidates need to fulfill any one of the following:
- SUAT followed by PI
- Rank up to 3 lakh in JEE
- Rank up to 50,000 in UPSEE
How to Apply
To apply for this program, you need to follow these steps-
- Firstly, click on this link to register yourself for the course.
- Next, confirm the specialization you want to study and verify your email.
- Make a payment for application of INR 1200 and submit the form.
- Register yourself for the SUAT here.
Scholarships
The University provides complete to partial coverage of the tuition fee through Sharda Scholarship. Here is one of the scholarships offered by Sharda University-
On the basis of-
Career Opportunities
Many career opportunities are arising in the field of AI. You can choose one of the following professions-
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Artificial Intelligence Engineer
- Machine Learning Architect
Recruiters
Sharda University invites several companies to its campus for recruitment. Some of them are-
- Amazon
- Mphasis
- CapGemini
- Quickheal
- NTTData
- TCS
- SYNTEL
- Wipro
- Vivo Mobile, etc.
