USPs of the Program
Holistic Curriculum Integration
Seamlessly blends foundational subjects with cutting-edge AI concepts, providing students with a comprehensive education covering both fundamental principles and advanced technologies.
Foundational and Advanced Exploration
Delves into advanced topics like Database Systems, Cloud Computing, and Big Data Analytics, ensuring graduates are well-equipped for the dynamic landscape of Artificial Intelligence and Data Science.
Practical Application of AI
Focuses on developing algorithms that emulate human problem-solving, offering hands-on experience with networks, algorithms, data analysis, and programming techniques for real-world challenges.
Multifaceted Skill Development
Covers programming languages, database management, data analytics, scripting languages, machine learning, and big data analytics, ensuring graduates possess a diverse skill set highly valued in the industry.
Future-Ready Education
Incorporates emerging technologies, preparing students for the future of AI and Data Science with relevant industry trends and tools. Graduates emerge with theoretical knowledge and practical skills for evolving technological landscapes.
Latest Trends in Industry
The future holds immense promise for graduates in Artificial Intelligence & Data Science as organizations increasingly rely on data-driven insights. This program positions professionals at the forefront of a burgeoning digital landscape, where the demand for skilled individuals is consistently expanding. Diversification of AI and Data Science applications into sectors like manufacturing, retail, and energy opens new avenues, while integration with emerging technologies like edge and quantum computing propels the field into uncharted territories. The healthcare sector, in particular, offers significant opportunities for AI applications in diagnostics and personalized medicine. Graduates will play crucial roles in addressing emerging challenges related to data privacy and
ethics, ensuring responsible and transparent use of data in an evolving technological landscape.
Industry trends reflect a dynamic landscape, with the rise of Explainable AI (XAI), Automated Machine Learning (AutoML), and the integration of AI in DevOps processes. Edge AI, Natural Language Processing (NLP) advancements, and predictive analytics for cybersecurity are shaping the future. Continuous learning remains paramount, as AI and Data Science professionals adapt to evolving technologies and methodologies, ensuring they remain competitive in this rapidly advancing industry.
Career Opportunities
Graduates can pursue roles as
- Data Scientists,
- Data Analyst
- Data Engineer
- Business Intelligence Analyst
- Research scientists.
The skills gained are valuable across industries like healthcare and finance, where intelligent systems and predictive analytics are transforming operations. The growing demand for data science expertise ensures a wealth of opportunities for proficient professionals.
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Course Structure
-
| SEMESTER 1 |
| Subjects |
Credits |
| Data Structure using C |
4 |
| Engineering Mathematics 1 |
4 |
| Applied Engineering Physics |
5 |
| Programming for Problem Solving in Python |
3 |
| Emerging Trends in Computer Science |
2 |
| English Language |
3 |
| Universal Human Values |
2 |
| SEMESTER 2 |
| Subjects |
Credits |
| Object Oriented Programming |
5 |
| Engineering Mathematics 2 |
4 |
| Advance Data Structures |
4 |
| Computer System Archuitecture |
4 |
| Design Thinking |
3 |
| Environmental Studies (SDG Goal Project) |
0 |
| University Elective (Open Elective) - 1 |
3 |
| SEMESTER 3 |
| Subjects |
Credits |
| Database Management System |
4 |
| Theory of Computation |
3 |
| Operating Systems |
4 |
| Discrete Mathematics |
4 |
| Advanced Java Programming |
4 |
| Fundamentals of Data Engineering |
3 |
| Indian Knowledge System |
0 |
| Social Internship -1 |
4 |
| SEMESTER 4 |
| Subjects |
Credits |
| Computer Networks |
4 |
| Software Engineering & Project Management |
4 |
| Understanding and application of statistical techniques |
3 |
| Data Warehousing, Data Marts and OLAP |
3 |
| Design and Analysis of Algorithm |
3 |
| Advanced Database Management System |
3 |
| Embedded System |
4 |
| University Elective (Open Elective) - 2 |
3 |
| SEMESTER 5 |
| Subjects |
Credits |
| Social Internship-2 |
3 |
| Computer Graphics |
4 |
| Compiler Design |
4 |
| Big Data Engineering |
4 |
| Data Modelling and ETL operations |
3 |
| School of Computing - Department Elective 1 |
3 |
| Minor Project -1 |
3 |
| Cryptography and Network Security |
4 |
| SEMESTER 6 |
| Subjects |
Credits |
| Venture Ideation |
3 |
| Data Analytics and Visualization |
3 |
| School of Computing - Department Elective 2 |
3 |
| Data Mining |
4 |
| Web Technologies |
4 |
| Minor Project 2 |
3 |
| Professional Communication |
4 |
| Professional Ethics |
4 |
| University Elective (Open Elective) - 3 |
3 |
| SEMESTER 7 |
| Subjects |
Credits |
| Major Project -1 |
4 |
| School of Computing - Department Elective 3 |
3 |
| Summer Internship |
4 |
| SEMESTER 8 |
| Subjects |
Credits |
| Major Project - 2 |
8 |
| Constitution of India -MOOC |
0 |
| School of Computing - Department Elective 4 |
3 |
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Scholarships
-
Scholarships for Under-Graduate Students
Scholarship for Undergraduate Students for 2024 intake
| CATEGORY |
All India |
| SCHOLARSHIPS |
10.00% |
20.00% |
30.00% |
40.00% |
50.00% |
60.00% |
70.00% |
80.00% |
90.00% |
| 12th Percentage (Any Central Board) |
80.00-84.99 |
85.00-89.99 |
90.00-92.50 |
92.60-94.99 |
95 |
96 |
97 |
98 |
99 |
| JEE Percentile |
75-79.99 |
80 - 84.99 |
85 - 89.99 |
90 - 94.99 |
95-95.99 |
96-96.99 |
97-97.99 |
98-98.99 |
99-100 |
| CUET Percentile |
88 - 89.99 |
90-91.99 |
92-93.99 |
94-94.99 |
95-95.99 |
96-96.99 |
97-99.99 |
98-98.99 |
99-100 |
Note:
Best 4 Core Subjects only (SUPW, Physical Education and Non Academic Subjects will not be considered)
SCHOLARSHIP FOR UTTARAKHAND DOMICILE
Note:
No two scholarships can be clubbed together, if any student eligible for two scholarships may choose the higher scholarship from the respective category.
Procedure
- Students registering for scholarship should apply on the prescribed form avaliable with the institute or on website at the time of interview before confirmation of admission. Students who do not apply before confirmation of admission wlil not be eligible for merit scholarship.
- Students should submit photocopies of all mark sheets and certificates required as above for entitling the scholarship.
- Upon your official confirmation of admission with the DBSG, you wlil receive a formal scholarship offer letter / confirmation.
- The scholarship wlil be disbursed semester wise.
- In case the result of the previous semester has not been declared tlil the last date of submission of fees for the next semester, the student may provisionally submit fees equivalent to the last semester fees but in case falis to get the required marks wlil have to submit the balance fees.
- Whlie applying for a scholarship and fliling in the percentage of class XII marks, applicants are required to consider the aggregate of Best 4 core subjects in their XII boards (SUPW, Physical Education and Non Academic Subjects wlil not be considered).
However the scholarship for 3rd semester onwards wlil be subject to:
- 75% attendance to be maintained in each subject individually in the preceding semester. Please note that Third Semester Scholarship depends on First semester performance and Fourth semester Scholarship on second semester.
- 70% marks in cumulative score in all subjects.
- Students shall not be involved in any disciplinary action of misconduct where a penalty or fine is imposed by the Proctorial board.
- Students shall take a good moral character certificate from the course coordinator every year and submit the same with the Registrar.
- Students should give an undertaking of being avaliable at all time during the course for any brand ambassador activities and also in case of events/goodwlil programmes.
- There should be no discontinuation in study. In case of transfer to any other institute, the scholarship given wlil have to be refunded prior to issue of College Leaving Certificate.
- Students need to send a thank you letter to the Board of Trustees for the Generous Scholarship every semester.
In case any of the above criteria is not fulfliled the scholarship for the next semester wlil be withdrawn.
Disclaimer:
- Notwithstanding anything under this Scholarship scheme, ESKAY EDUCATIONAL TRUST has sole discretion to edit, modify, change, update, continue or abandon the above-mentioned Scholarship going forward at any given point in time, without any prior written intimation. Management wlil be the final deciding authority for all scholarship decisions as stated in this specific disclaimer.
- There is no concept of automatic renewal for next semester. The Sponsorship Committee shall decide every semester on a case-to-case basis, subject to the Scholarship Scheme if prevaliing at the relevant time.
- There should be no discontinuation in study. In case of discontinuation / transfer to any other institute, the scholarship given wlil have to be refunded prior to issue of college leaving certificate.
- Please note that this communication is without prejudice to any rights of ESKAY EDUCATIONAL TRUST and this communication should not be considered as a waiver of any rights of ESKAY EDUCATIONAL TRUST in the applicants’ favour.
