Learning about the Syllabus and Program Outcomes of B tech Artificial Intelligence and Data Science
                     Learning  about  the  Syllabus  and  Program
Outcomes of B tech Artificial Intelligence and Data
Science
The b tech artificial intelligence and data science is quite innovative and an exciting program to take. It is
also necessary and offers a huge career prospect due to the higher internet penetration and adoption of 
AI in computing. This has resulted in huge data generation that needs to be analyzed and interpreted 
continually.
Overview of the Program
The course will teach you about the varied computational theories and techniques used to extract data 
and analyze it, making the best use of the creative and innovative skills developed through the course. 
Typically, students seeking btech Admissions to study this course are taught the core technologies, such 
as:
 Artificial Intelligence
 Data modeling
 Big data analytics
 Data mining
 Machine Learning
In addition, the course will also teach you about additional disciplinary skills such as computer science, 
logic, and statistics.
With such advanced and diverse knowledge, you can broaden your career prospects and get jobs in 
different areas and sectors such as healthcare, e-commerce, genetics, and more.
The Syllabus
The primary objective of the course is to teach students about mathematical reasoning and discovery 
based on machine learning and visualization skills. The syllabus includes everything related to data 
science, such as:
 Ethical acquiring
 Analyzing
 Engineering
 Visualizing and
 Monetizing.
It also includes the major aspects of AI, such as:
 Search strategies
 Algorithms and
 State-space illustration.
This carefully curated program also offers knowledge of deep learning and neural networks.
In short, the program helps develop your creative thinking and problem-solving capabilities so that you 
can apply all theories and practical applications to real-life scenarios according to your needs.
Program Outcomes
The outcomes of this specific program relate to the advanced knowledge and skills developed. This 
includes knowledge of:
 Engineering and mathematics, along with the fundamentals of science, are required to solve 
complex problems.
 Analytical skills that help in identifying problems and formulating apt solutions based on data-
based research and different principles related to mathematics and engineering science

 Designing skills for different solutions for different intricate engineering problems as well as 
developing different system components according to the specifications for safety
 Investigative ability of different complicated problems based on the knowledge of experimental 
design, data analysis and interpretation
 Techniques for using modern tools for precise modeling and prediction, as well as selecting 
proper resources and applying the right techniques based on the engineering intricacies and 
activities
 Reasoning based on the context to evaluate different issues related to health, culture, and 
society conforming the responsibilities and ethical practices
 Understanding sustainability and the impact of engineering solutions on society and the 
environment
 Ethical principles and commitments while performing different engineering practices
 Proven ways to manage teams for functional benefits and effectiveness across different 
multidisciplinary environments
 Communication skills to understand and write proactive reports or make understandable 
presentations with clear instructions given or received and
 Finance and project management based on different engineering principles and activities as a 
successful team leader in a multispectral environment.
There are also a few other outcomes specific to this program, such as independent and continual 
learning to be up-to-date with the technological changes happening in the field and recognize the need 
to make amendments accordingly.
You will have a much better understanding of the computational and statistical principles underlying 
data science and AI and analyze problems more practically by applying them proficiently. You will know 
when to implement machine learning, neural networks, or search algorithms to solve a problem and 
design new algorithms. You can use different tools and software available to ensure higher accuracy and 
effectiveness of your solutions.
Conclusion
In conclusion, doing a BTech in artificial intelligence and data science will offer you career-specific 
outcomes and benefits that will broaden your prospects. The carefully designed program by the experts 
will cover every aspect of AI and data science to provide you with higher ROI and a promise for a 
successful and bright career.
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outcomes-of-b-tech-artificial-intelligence-and-data-science
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