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Up to 30% Merit Scholarship*

*T&C apply. For more details, visit upes.ac.in.

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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.

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

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#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.

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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.

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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.

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3:1 Student Faculty Ratio

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

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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*

*Up to 40% Scholarship for selected students.

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 TYPE
    COURSE
    CREDITS
    Core Courses
    • Calculus I
    • Principles of Economics
    • 3
    • 3
    Interdisciplinary Courses
    • Environmental 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 TYPE
    COURSE
    CREDITS
    Core Courses
    • Calculus I
    • Principles of Economics
    • 3
    • 3
    Interdisciplinary Courses
    • Environmental 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 TYPE
    COURSE
    CREDITS
    Core Courses
    • Microeconomics I
    • Econometrics I
    • Macroeconomics II
    • Data Structures and Algorithms
      and Database Management
    • 3
    • 3
    • 3
    • 4
    Interdisciplinary Courses
    • Exploratory Course I
    • Exploratory Course II
    • Course from School for Life III
    • 3
    • 3
    • 2
    Job Oriented Courses
    • Econometrics I
    • Data Structures and Algorithms
      and Database Management
    • 3
    • 5
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Econometrics II
    • Probability and Statistics II
    • 3
    • 4
    Elective Courses
    Economics Elective I
    3
    Interdisciplinary Courses
    • Exploratory Course III
    • Exploratory Course IV
    • Exploratory Course V
    • Course from School for Life IV
    • 3
    • 3
    • 3
    • 2
    Job Oriented Courses
    • Econometrics II
    • Probability and Statistics II
    • 3
    • 4
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Time Series Econometrics
    • Data Science Elective I
    • 4
    • 4
    Elective Courses
    • Economics Elective II
    • Exploratory Course VI
    • 4
    • 3
    Interdisciplinary Courses
    • Exploratory Course VII
    • Exploratory Course VIII
    • Course from School for Life V
    • 3
    • 3
    • 2
    Job Oriented Courses
    • Time Series Econometrics
    • Data Science Elective I
    • 4
    • 4
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Introduction to Machine Learning
    • Data Science Elective II
    • 4
    • 4
    Elective Courses
    • Economics Elective III
    • Economics Elective III
    • 4
    • 4
    Interdisciplinary Courses
    Course from School for Life VI
    2
    Job Oriented Courses
    • Introduction to Machine Learning
    • Data Science Elective II
    • 4
    • 4
  • COURSE TYPE
    COURSE
    COURSE
    Core Courses
    • Handling Big Data Project
    • Research Methodology
    • Sampling Techniques
    • Research Seminar
    • Internship
    • Handling Big Data Project
    • Research Methodology
    • Sampling Techniques
    • Research Seminar
    • Internship
    Interdisciplinary Courses
    • Handling Big Data Project
    • Sampling Techniques
    • Research Seminar
    • Internship
    • Handling Big Data Project
    • Sampling Techniques
    • Research Seminar
    • Internship
  • COURSE TYPE
    COURSE
    CREDITS
    Interdisciplinary Courses
    Dissertation
    14
    Core Courses
    Dissertation
    14

B.Sc. (Hons.) - Economics and Finance

  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Calculus I
    • Principles of Economics
    • Data in Social Sciences and Humanities
    • Ideas of India
    • Gender and Society
    • 3
    • 3
    • 3
    • 3
    • 3
    Interdisciplinary Courses
    • Calculus I
    • Principles of Economics
    • Data in Social Sciences and Humanities
    • Ideas of India
    • Gender and Society
    • 3
    • 3
    • 3
    • 3
    • 3
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Linear Algebra
    • Probability and Statistics I
    • Macroeconomics I
    • Calculus 2
    • Introduction to Programming: 
      Data Analysis in Python
    • 3
    • 3
    • 3
    • 3
    • 3
    Interdisciplinary Courses
    Course from School for Life II
    3
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Microeconomics I
    • Econometrics I
    • Macroeconomics II
    • Introduction to Finance
    • 3
    • 3
    • 3
    • 4
    Interdisciplinary Courses
    • Exploratory Course I
    • Exploratory Course II
    • Course from School for Life III
    • 3
    • 3
    • 2
    Interdisciplinary Courses
    • Econometrics I
    • Introduction to Finance
    • 3
    • 4
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Econometrics II
    • Financial Economics
    • 3
    • 4
    Elective Courses
    Economics Elective I
    3
    Interdisciplinary Courses
    • Exploratory Course III
    • Exploratory Course IV
    • Exploratory Course V
    • Course from School for Life IV
    • 3
    • 3
    • 3
    • 2
    Job oriented electives
    • Econometrics II
    • Financial Economics
    • 3
    • 4
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Financial Econometrics
    • Finance Elective I
    • 4
    • 4
    Elective Courses
    Economics Elective II
    4
    Interdisciplinary Courses
    • Exploratory Course VI
    • Exploratory Course VII
    • Exploratory Course VIII
    • Course from School for Life V
    • 3
    • 3
    • 3
    • 2
    Job oriented electives
    • Financial Econometrics
    • Finance Elective I
    • 4
    • 4
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Advanced Corporate Finance
    • Finance Elective II
    • 4
    • 4
    Elective Courses
    • Economics Elective III
    • Economics Elective IV
    • 4
    • 4
    Interdisciplinary Courses
    Course from School for Life VI
    2
    Job oriented electives
    • Advanced Corporate Finance
    • Finance Elective II
    • 4
    • 4
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    • Handling Financial Data Project
    • Research Methodology
    • Sampling Techniques
    • Research Seminar
    • Internship
    • 8
    • 2
    • 2
    • 4
    • 10
    Job oriented electives
    • Handling Financial Data Project
    • Sampling Techniques
    • Research Seminar
    • Internship
    • 8
    • 2
    • 4
    • 10
  • COURSE TYPE
    COURSE
    CREDITS
    Core Courses
    Dissertation
    14
    Job oriented electives
    Dissertation
    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.

Student Achievements

Last Date to Apply: 29th April

SCHOOL OF LIBERAL STUDIES AND HUMANITIES

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