About the ATLAS B.Tech program
Atlas SkillTech University's B.Tech program is a gateway to a successful career in technology. This program, focusing on Computer Science, Artificial Intelligence (AI), and Machine Learning (ML), is more than just an academic course; it's a journey of creation, innovation, and pushing the boundaries of technological possibilities. The program is designed for those with a problem-solving mindset, a passion for new technology, and an ambition to either join a top tech company or build their own.
- Cutting-Edge Curriculum with Real-World Applications
- Experiential Learning
- Industry and World-Renowned Experts
- Comprehensive Learning Experience
4 Key Highlight Points of the BTech Program
8 Semesters Of Pinnacle And Internship
An industry-ready project at the end of each semester, A full semester industry internship that can be extended to the summer.
Research & Industry
Partnerships can be forged with faculty who work with industry leaders on cutting-edge areas.
Entrepreneurship Support
The University’s Venture Labs support student startups, helping transform tech ideas from concepts to full-fledged startups.
Facilities
ATLAS provides a lively campus with labs, collaborative workspaces, and residential amenities, fostering a vibrant student community with diverse clubs, events, and festivals.
8 Semesters of Transformation
Introductory level programming, in addition to natural sciences.
These courses help code moderately complex applications.
These projects are showcased at the Pinnacle.
Pinnacle: Game Design
By the end of this semester, the students become efficient coders who can help the industry in their app-making processes.
The students take courses that are essential in reporting and analysing data and develop code to do that. They learn to use powerful visualisation tools as well.
Pinnacle: Data Analysis
By the end of this semester, the students will become excellent data analysts who can help industries get valuable insights from data.
The students learn to build machine learning models which can be used to solve complex problems, make classifications and take decisions from existing data. They also learn data-storage techniques.
Pinnacle: Machine-Learning models
By the end of this semester, the students will become data scientists, who can build accurate machine learning and deep learning models.
Combining the knowledge of machine learning, deep learning and data engineering, the students design AI models into products. The students learn about software development life cycles, software and machine learning development methods used in the industry. Pinnacle: Recommendation Systems, Fraud Detectors and Enterprise-grade Engines By the end of this semester, the students turn into full-fledged AI engineers.
The students dive into the world of IoT and advanced digital technologies. They also get to know the functioning of businesses.
Change required in curriculum: replace “Writing Business Plans, Technical Papers and Blogs” with “360 Degree View of Business”
PInnacle: Building enterprise level end-to-end projects like drones, robots, combining physical and digital projects
By the end of this semester, the students would have become digital engineers with knowledge of IoT and digital technology, who can aid digitalization of businesses.
The students will be interns with industry, getting to know the industry and aid them in creating novel smart processes.
Change required in curriculum: Remove “Entrepreneurship Development” (This has been compensated for in Semester 5 with “360 Degree View of Business”.)
The students will turn their focus to cybersecurity and fighting evil by building anti-hacking systems. They can also choose to specialize in different dominas like healthcare, generative AI, finance, astrophysics and the like.
Pinnacle: Making encryption software
The students can choose one of the three career tracks listed below.
Career tracks:
Entrepreneur track: The student can pick up a project at the Entrepreneurship cell
Higher Studies track: The student can join under a faculty’s mentorship and do a project that can lead to a publication
Career / job track: The student spends the semester building a better product with their knowledge of digital technologies.
The students learn to become more responsible engineers, focussing on ethics of using AI and digital technology. They learn deeper about cybersecurity, ethical hacking, intellectual properties and blockchain, along with polishing their grasp of digital technologies.
No pinnacle in the 8th semester.
