BTech in Data Science, Economics and Business
Combining data science, economics, and business to understand how people, markets, and societies make decisions. The program equips students to create data-driven solutions that generate value for the economy and society.
About the Program
This cutting-edge interdisciplinary degree is at the nexus of data science and understanding of humans, economy, businesses and government. The Data Science, Economics & Business program has a strong core in data science, which is blended with a study of how humans think, behave and make decisions, how our society works and how global economic and financial markets operate. Students will be encouraged to explore the real-world applications that emerge at these intersections to create solutions and value for the economy and society.
The curriculum at Plaksha is dynamic and continuously evolving, based on inputs from faculty, latest research and industry insights.
Admission and Eligibility Criteria
Your application is reviewed to understand the overall potential and fit with Plaksha's ethos. Share a complete and authentic representation of yourself through your application.
Dates to Remember
BTech Minors
The following Minors are currently offered by the programs:
- Artificial Intelligence
- Computational Systems Biology
- Computer Science
- Robotics
- Tech Entrepreneurship
- Design
What can you create?
Digital business systems
You can lead the digital transformation at your workplace to make better decisions, and deliver more optimal and scalable solutions. You will be able to apply your business acumen and data insights to guide your firm to create efficient systems and processes that maximise value for all stakeholders
Financial innovations
You can master areas like cryptocurrency, blockchain, and algorithmic trading, engineer innovations that change the way we look at the financial markets and instruments, or even create value through ventures in sectors.
Policies for governance and business
You can play a crucial role in the design and evaluation of policy decisions through your understanding of data and the economy. Think Tanks, governments, and corporate firms use large datasets and econometric techniques to carefully study data to determine important outcomes such as funding requirements, resource allocation, and welfare optimization.
Financial Aid and Scholarships
Plaksha is committed to ensuring that no deserving student is denied access to education because of their personal financial constraints. Liberal financial aid and merit scholarships between 25%-100% are available at Plaksha. In case of salaried families, financial aid is available if the household's gross annual income (including salary and income from other sources) is below ₹50 lakh.
Curriculum
The curriculum at Plaksha is dynamic and continuously evolving, based on inputs from faculty, the latest research, and industry insights.
Testimonials
Hear from our students about their experiences in the program.
Learning Experiences
Multidisciplinary approach and Interdisciplinary perspective
Interacting with and drawing multiple elds of expertise, making connections between discipline, analyzing the humanistic, socioeconomic and technical contexts of the problem.
Foundational Tech Core
Developing an interdisciplinary foundation featuring math, physics, computer science and engineering principles such that they come together as an integrated whole, not segmented topics.
Design and research ability
Identifying human needs and solving problems creatively through sustained critical investigation.
Innovation and entrepreneurship mindset
Finding Opportunities, identifying business models, embracing ambiguity to create value in the marketplace or in society
Societal Responsibility
Considering the social and human consequences of actions and responsibilities to others in local, national and global communities, acting to improve the human condition.
Leadership and self reflection
Creating impact through actively developing skills like communications, creatively, critical thinking and collaboration.