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About Computer Science Specialisation in Artificial Intelligence

Artificial intelligence (AI) careers have grown exponentially in recent years to meet the demands of the digitised industry. While there are many jobs in the artificial intelligence space, there is a significant shortage of top tech talent with the requisite skills.

According to job portal Indeed, demand for Al-Skills has more than doubled for him over the past three years, and the number of job openings he has increased by 119%. However, job seekers' interest in careers in artificial intelligence seems to be leveling off. This suggests that employers will struggle to fill these positions in the years to come.

Career Opportunities in Computer Science in AL, ML and VR

User Experience (UX) Designer/Developer

Operate the product so that the customer understands its functionality and is easy to use. Understand how humans use devices and how computer scientists can apply this understanding to create more sophisticated software.

Natural Language Processing Engineer

Explore the relationship between human language and computer systems. This includes working on projects like chatbots and virtual assistants.

Researcher

Work with computer science and AI research Discover ways to advance AI technology

Big Data Analyst

Find meaningful patterns in your data by looking at the past and predicting the future.

Program Structure

Contemporary English I	Mathematical Foundation of Computer Science
Problem Solving Technique using C	Software Development Fundamentals
Data Analysis using Advanced Excel	Lab Course based on C
Lab Course based on Advanced Excel

Contemporary English II	Discrete Mathematics
Data Structures	Programming using Python
Introduction to Artificial Intelligence	Lab Course based on Data Structures
Lab Course based on Python	Foreign Language: German I/ French I
Environmental Studies

Value Added Program
Database Management System	Digital Electronics
Theoretical Computer Science	Python Programming for Data Science
Augmented Reality and Introduction to Virtual Reality with Unity	Lab course based on Python Programming for Data Science
Lab Course based on Unity VR	Internship I #
Aptitude Skills Building*	Business Analytics*
Web Application Development Using PHP*

Open Elective
Advanced Database Management System	Design and Analysis of Algorithms
Basics of Machine learning	R Programming
Open Elective I	Lab Course based on R Programming
Recent Trends in IT	Fundamentals of Programming
*Value Added Courses (Any One)
Dynamic Web Application Development with PHP *	Social Network Analysis*
Digital Image Processing and Pattern Recognition*

Open Elective II
JAVA Programming	Software Testing
Business Data Analytics	Machine Learning Techniques
Open Elective II	Lab Course based on Java Programming
Lab Course based on Machine learning	Capstone Project Work- Based on AI and Machine Learning I
Internship II #
Digital Marketing	Cyber Security Awareness
*Value Added Courses(Any One)
DevOps*	Docker & Kubernetes*

Programme Elective I	Programme Elective II
Programme Elective III	Capstone Project Work- Based on AI and Machine Learning II

Programme Elective I
Artificial Intelligence and Knowledge Presentation	Software Agents
Natural Language Processing
Programme Elective II
Deep Learning	Embedded Systems
NArtificial Intelligence in Business
Programme Elective III
Artificial Neural Networks	Web Application Security
MapReduce and YARN

Fee Structure & Eligibility

Programme	Sem	Year	Mode	Eligibility	Academic Fees Per Year (INR)	Special Fees (Incl. Library Fee & Examination Fees) Per Year (INR)	Fees Per Year
SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG)
B. Sc. (Computer Science) specialisation in AI, ML & VR	6	3	Sem	H.Sc.(10+2) level examination in Science with Mathematics from any recognised Board / Council with minimum 45% marks for general (open) category and 40% marks for students of reserved category.	Rs 45,000/-	Rs 10,000 /-	Rs 55,000/-

Note:

Admission Form and Prospectus Rs.1000/- (One Time)
Caution Money Rs.1000 (Refundable)
Hostel Fees Rs.1,00,000/- per annum (Deposit Rs.5,000 at the time of Admission Only on Refundable basis)
Transportation Fees as applicable based on Route and Pick Up Point
Uniform cost Rs.5500/-

Achievements

Students Participation (14/09/2017)

Students of School of Computer Science and Applications, Mr. Shubham Kulkarni from BCA-III Sem and Mr. Smit Patel from BCA-I Sem under the guidance of Prof. Mrs. Prajakta Shirke, has participated in Google's “Solve for India” program organised by Sandip Foundation's, Sandip Institute of Technology and Research Center on 14th September 2017.

Invitee/ Chief Guest/ Judge

Mrs. Tejal Oza, Assistant Professor, School of Computer Sciences and Applications have been invited as a Chief Guest for Engineers Day Function at MET Bhujbal Knowledge City, Nashik on 16th September 2017.

Students Participation (2 & 3/02/2018)

Students of School of Computer Science and Applications, Mr. Smit Patel and Mr. Ravi Mishra from BCA-II Sem participated in IoT Challenge 2018 organised by I-3 India Technologies in Association with IIT Mumbai at Sandip Foundation's, Sandip Institute of Technology and Research Center on 2nd and 3rd February 2018.

Faculty and Students Participation (16/02/2018)

Faculty and Students from School of school of Computer science and applications namely Mrs. Tejal Oza (Faculty), Akash Bombade, Sangeeta Singh, Sanjeev Kumar and Pooja Patil participated and attended National Conference on “Multidisciplinary Research & Projects”, organised by Ashoka Institute of Business and Computer studies in association with Savitribai Phule, Pune University.

The objective of the conference was to provide a platform to the students and the faculty members to present research on different innovative ideas on business and technology. The keynote address given by Dr. V.B. Gaikwad, Principal of KTHM College, an ace academician and a renowned researcher, gave a deep insight on the various topics related to research and innovation in science and technology.

There were various papers on the topics like automation of signals, green computing, agile methodologies and research in the area of Software engineering. Thus for the students the conference was a deep learning experience, which will certainly help them in designing and presenting papers in the near future. Also it was a mutual networking session in the lunch hours, where students and faculty interacted with peer participants present in the event, to build and think for research on collaborative ideas that can be taken up in future.

The projects and models in the seminar also were a source of project based learning for the students, which certainly will pave way for the students to develop and design projects for any such event to occur in future. At the end the students and faculty were presented with participation certificates, and the day was fruitful investing time in research and innovation.

National Admissions

International Admissions