B.E. in Computer Science & Engineering (Artificial Intelligence & Machine Learning) 

at East West Institute of Technology, Vishwaneedam

Dear candidate, the subject of Machine Design basically teaches you about the designing fundamentals of various types of machinery across industries. You get to learn about the different ways in which elements can be combined to form an equipment or machine system and get the work done in an effective manner.

The knowledge of this subject is very important for a mechanical engineer as he/she will have to put this to use in the future whenever they enter the workforce as a mechanical engineering professional.

Hope this cleared your doubt. Have a good day.

The BTech Mechanical Engineering syllabus is not the same across all colleges, as every college committee sets a particular coursework pattern at the start of every academic year to be followed for the respective batch. The syllabus includes some core subjects, interesting electives, and lab work that gives detailed knowledge to the students about the workings of the field.

Helpful Link: Mechanical Engineering Subjects in Detail

Graduates with a BTech degree in CSE are in high demand across a plethora of work fields, as everything is ruled by computer technology these days and every industry needs strong software applications, network security, and database management systems for effective working. A few top industries recruiting BTech in CSE graduates are given here:

• IT & Software
• Product Development
• E-Commerce and Digital Commerce
• Cloud Computing & AI
• Data Science & Analytics
• Banking and FinTech
• Automotive
• Healthcare

Useful Link: BTech CSE Career Scope

Engineering job profiles vary across the industry as well as the domain where the person is recruited. Since the popular industries include petrochemicals, civil engineering, construction and other allied industries, the following job profiles are very popular and offer promising career opportunities:

Note- The above salary has been taken from external sources, and hence may vary.

Graduates have diverse career options in:

• Machine Learning Engineer
• Data Scientist
• AI Engineer
• Data Analyst
• Software Developer (AI)
• Research Scientist
• Robotics Engineer

The BTech in AI curriculum typically covers core subjects like:

• Introduction to Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Structures and Algorithms
• Probability and Statistics
• Computer Vision
• Natural Language Processing
• Robotics
• Software Engineering
• Mathematics (Calculus, Linear Algebra)

Yes, many universities offer electives that allow students to specialize in specific areas of AI, such as:

• Big Data: Tools and Techniques
• Cloud Computing
• Computer Graphics
• Human-Computer Interaction
• Big Data Analytics
• Cybersecurity
• Data Analytics
• AI, Neuroscience, and Natural Intelligence