
UNIVERSITY OF TOMORROW



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Up to 30% Merit Scholarship*
*T&C apply. For more details, visit upes.ac.in.


About School of Liberal Studies and HUMANITIES
Preparing Thought Leaders of Tomorrow
UPES School of Liberal Studies and Humanities equips students to analyse complex global issues through diverse perspectives, develop the ability to shape public discourse, influence policy, and create impactful narratives, ensuring they are ready to lead in tomorrow’s dynamic landscape. The school offers a forward-thinking educational experience that blends global perspectives with local relevance. Positioned at the intersection of critical thinking, and social impact, the school is committed to preparing students to excel in an interconnected, rapidly-evolving world. Students are exposed to international perspectives through partnerships, cross-cultural collaborations, and a diverse faculty. By integrating global insights with localised knowledge, the school ensures students are not only well-versed in global issues, but also equipped to engage with local contexts and challenges.
Students are encouraged to explore and synthesise knowledge across a range of disciplines. This interdisciplinary approach ensures graduates are equipped to think critically, solve complex problems, and adapt to diverse career paths. The school focuses on experiential pedagogy by engaging with local communities, industries and organisations. Students work on projects that address societal needs while gaining practical experience in their fields. This approach creates a unique educational experience that combines theory with action, preparing students for impactful careers in an ever-changing world.

Why B.Sc. (Hons.) - Economics (Data Science/ Finance) at SOLSH ?

#1 Private University
Experience the pinnacle of academic excellence at India’s #1 private university, renowned for its stellar academic reputation and commitment to intellectual excellence. Immerse yourself in a dynamic learning environment with faculty hailing from top institutions.

Faculty from MIT, Oxford, Yale, Stanford, Cambridge and more
We have esteemed faculty members from globally renowned institutions such as MIT, Oxford, Yale, Stanford, Cambridge, and more, bringing world-class expertise and a global perspective to our academic programs.

Unmatched Global Opportunities
UPES offers a range of international collaboration and student exchange opportunities, enhancing global exposure. Students can participate in a semester abroad program and engage in exchanges across various countries, including Italy, Sweden, Poland, France, Malaysia, South Korea, and Russia. The university's unique pedagogy attracts exchange students from different countries, fostering cultural diversity and global awareness.

3:1 Student Faculty Ratio
Experience a transformative education with a remarkable 3:1 student-faculty ratio, providing an engaging and impactful learning experience.

Transdisciplinary And Experiential Pedagogy
Unleash your potential with a unique blend of theory and practice, guided by top-notch faculty, state-of-the-art labs, an innovative curriculum, and a transformative pedagogy. At UPES, theoretical knowledge integrates with real-world applications to create a comprehensive learning experience.
Merit Scholarships | Early Acceptance Scholarships*
Why UPES?
22
+
Years of legacy in multidisciplinary and holistic learning
250
+
Start-ups have received grants from UPES Runway Incubator
#1
Private University in Academic Reputation in India, QS World University Rankings, 2026
70
+
Tie-ups with global universities for exceptional international opportunities.
45
Rank in India in the University category, NIRF 2025
1.3
Cr
Highest Package*
*secured by an alumnus in computer science
Curriculum
B.Sc. (Hons.) - Economics with Data Science
- COURSE TYPECOURSECREDITSCore Courses
Calculus I
Principles of Economics
3
3
Interdisciplinary CoursesEnvironmental Studies
Gender and Society
Ideas of India
Data for Humanities and Social Sciences
Course from School for Life I
3
3
3
3
3
- COURSE TYPECOURSECREDITSCore Courses
Calculus I
Principles of Economics
3
3
Interdisciplinary CoursesEnvironmental Studies
Gender and Society
Ideas of India
Data for Humanities and Social Sciences
Course from School for Life I
3
3
3
3
3
- COURSE TYPECOURSECREDITSCore Courses
Microeconomics I
Econometrics I
Macroeconomics II
Data Structures and Algorithms
and Database Management
3
3
3
4
Interdisciplinary CoursesExploratory Course I
Exploratory Course II
Course from School for Life III
3
3
2
Job Oriented CoursesEconometrics I
Data Structures and Algorithms
and Database Management
3
5
- COURSE TYPECOURSECREDITSCore Courses
Econometrics II
Probability and Statistics II
3
4
Elective CoursesEconomics Elective I
3
Interdisciplinary CoursesExploratory Course III
Exploratory Course IV
Exploratory Course V
Course from School for Life IV
3
3
3
2
Job Oriented CoursesEconometrics II
Probability and Statistics II
3
4
- COURSE TYPECOURSECREDITSCore Courses
Time Series Econometrics
Data Science Elective I
4
4
Elective CoursesEconomics Elective II
Exploratory Course VI
4
3
Interdisciplinary CoursesExploratory Course VII
Exploratory Course VIII
Course from School for Life V
3
3
2
Job Oriented CoursesTime Series Econometrics
Data Science Elective I
4
4
- COURSE TYPECOURSECREDITSCore Courses
Introduction to Machine Learning
Data Science Elective II
4
4
Elective CoursesEconomics Elective III
Economics Elective III
4
4
Interdisciplinary CoursesCourse from School for Life VI
2
Job Oriented CoursesIntroduction to Machine Learning
Data Science Elective II
4
4
- COURSE TYPECOURSECOURSECore Courses
Handling Big Data Project
Research Methodology
Sampling Techniques
Research Seminar
Internship
Handling Big Data Project
Research Methodology
Sampling Techniques
Research Seminar
Internship
Interdisciplinary CoursesHandling Big Data Project
Sampling Techniques
Research Seminar
Internship
Handling Big Data Project
Sampling Techniques
Research Seminar
Internship
- COURSE TYPECOURSECREDITSInterdisciplinary Courses
Dissertation
14
Core CoursesDissertation
14
B.Sc. (Hons.) - Economics and Finance
- COURSE TYPECOURSECREDITSCore Courses
Calculus I
Principles of Economics
Data in Social Sciences and Humanities
Ideas of India
Gender and Society
3
3
3
3
3
Interdisciplinary CoursesCalculus I
Principles of Economics
Data in Social Sciences and Humanities
Ideas of India
Gender and Society
3
3
3
3
3
- COURSE TYPECOURSECREDITSCore Courses
Linear Algebra
Probability and Statistics I
Macroeconomics I
Calculus 2
Introduction to Programming:
Data Analysis in Python
3
3
3
3
3
Interdisciplinary CoursesCourse from School for Life II
3
- COURSE TYPECOURSECREDITSCore Courses
Microeconomics I
Econometrics I
Macroeconomics II
Introduction to Finance
3
3
3
4
Interdisciplinary CoursesExploratory Course I
Exploratory Course II
Course from School for Life III
3
3
2
Interdisciplinary CoursesEconometrics I
Introduction to Finance
3
4
- COURSE TYPECOURSECREDITSCore Courses
Econometrics II
Financial Economics
3
4
Elective CoursesEconomics Elective I
3
Interdisciplinary CoursesExploratory Course III
Exploratory Course IV
Exploratory Course V
Course from School for Life IV
3
3
3
2
Job oriented electivesEconometrics II
Financial Economics
3
4
- COURSE TYPECOURSECREDITSCore Courses
Financial Econometrics
Finance Elective I
4
4
Elective CoursesEconomics Elective II
4
Interdisciplinary CoursesExploratory Course VI
Exploratory Course VII
Exploratory Course VIII
Course from School for Life V
3
3
3
2
Job oriented electivesFinancial Econometrics
Finance Elective I
4
4
- COURSE TYPECOURSECREDITSCore Courses
Advanced Corporate Finance
Finance Elective II
4
4
Elective CoursesEconomics Elective III
Economics Elective IV
4
4
Interdisciplinary CoursesCourse from School for Life VI
2
Job oriented electivesAdvanced Corporate Finance
Finance Elective II
4
4
- COURSE TYPECOURSECREDITSCore Courses
Handling Financial Data Project
Research Methodology
Sampling Techniques
Research Seminar
Internship
8
2
2
4
10
Job oriented electivesHandling Financial Data Project
Sampling Techniques
Research Seminar
Internship
8
2
4
10
- COURSE TYPECOURSECREDITSCore Courses
Dissertation
14
Job oriented electivesDissertation
14
ELIGIBILITY & SELECTION CRITERIA
Eligibility Criteria:
-
Minimum 50% in 10th & 12th
-
For B.Sc. Economics with Data Science & Economics and Finance:
-
Math/Eco in 12th will be preferred.
-
Non-Mathematics background students will undergo Remedial Mathematics module in Semester 1.
Selection Criteria:
-
Personal Interview/ CUET
*All programs listed here are subject to approval of the UPES Academic Council.
UPES reserves the right to introduce/discontinue/modify new/existing programs at its sole discretion, without prior intimation to any party.


