B.Tech. in Computer Science and Engineering (Artificial Intelligence) 

at Aditya College of Engineering and Technology, Ankola

ECE courses do offer various electives for you to opt in the both the UG-level and PG-level ECE courses where you get the chance to pick a specific subject that interests you more, is easy-going for you, and in which you can even pursue a specialisation further to tailor your career path in a particular direction.
You can choose to pick a subject according to the specialised field within your broad ECE specialization, which you would like to enter into in the future, where you see yourself as a well-established engineer. For example, in BTech ECE, there are a variety of electives like Embedded Systems, Antenna Design, Fiber-optic communication, VLSI Technology, etc.

Know more about -
ECE Courses Syllabus

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

The BTech in AI syllabus is a perfect mix of core and elective subjects. The core subjects are compulsory for you to study in every semester as they are meant to give you a strong base in the field of AI. Coming to the elective choices, there are a lot of interesting options and you can choose the elective subjects as per your interests, something you resonate more with and easy to understand for you.

So, the elective subjects do give you that liberty of customizing your BTech in Artificial Intelligence syllabus in some way or the other.

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

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