Double Major: one degree with two majors; usually fewer total credits than two separate degrees

Dual Degree (Double Degree): two separate degrees awarded (e.g., BA + BS); often significantly more credits plus extra general education

Minor: fewer courses than a major; adds specialization without full major depth

Double Major: full sequence/requirements for both fields

Concentration/Track: themed subset within a major (e.g., “Data Science track” in Economics)

Double Major: two formally distinct majors

Intro/foundational courses

Intermediate core courses

Advanced electives

Possible capstone/thesis/lab/studio/practicum/comprehensive exam

Writing, math/quantitative reasoning, humanities, social sciences, natural sciences

Often shared across all students regardless of major

Some courses may count toward both majors (often limited)

Common restrictions

Prerequisite chains can force early commitment (especially STEM, languages, studio programs)

Scheduling constraints

Heavier semesters, summer courses, or additional terms if overlap is low

Time management impacts

Required courses

Minimum major GPA (often separate thresholds per major)

Residency rules (minimum credits taken at the institution)

Total credits to graduate (e.g., 120)

General education requirements (often unchanged by adding a major)

Upper-division credit minimums

Declaring the second major

Ongoing advising and audits

Possible scenarios

Workload and timeline implications

Pursuing two passions or complementary academic lenses

Combining analytical, technical, creative, or communication strengths

Signaling breadth and specialization

Building domain + method pairings (the “what” + the “how”)

Eligibility for roles in either field

Flexibility when industries shift

Standing out via an uncommon combination (e.g., Music + Computer Science)

Demonstrating capacity to handle complex workloads

Translating between technical and non-technical stakeholders

Applying methods from one field to problems in another

Meeting prerequisites for advanced study (e.g., Psychology + Statistics for research)

Building a clearer niche (e.g., Biology + Public Policy for health policy)

More faculty contacts, research opportunities, and peer groups

Access to multiple career pipelines (events, alumni networks)

More required courses reduce elective freedom

Risk of back-to-back heavy semesters

Overlapping class times

Inflexible lab/studio sections

Limited course offerings (once per year)

More likely when majors have minimal overlap

Risk factors

Managing two demanding curricula

Balancing internships, extracurriculars, and personal time

Fewer opportunities for

Potential GPA trade-off if workload becomes too heavy

Risk of being spread thin without meaningful integration

Need to ensure competency, not just completion

Careers that reward the pairing (e.g., Finance + Computer Science)

Graduate programs needing prerequisites from two areas

Comfortable mapping multi-year plans and prerequisite chains

Economics + Mathematics

Political Science + International Relations (if distinct at the institution)

Computer Science + Linguistics (computational linguistics)

Biology + Chemistry (pre-health or research)

Internships, co-ops, portfolios, research, clinical hours

Double-counting limits

GPA requirements

Credit caps and residency requirements

Restrictions for impacted/competitive majors

Map prerequisites and course rotations

Identify bottleneck courses and alternatives

Align expectations on capstones, electives, and substitutions

Re-check after each registration period

Internships aligned with one or both majors

Integrative projects (portfolio, research, case competitions)

Product management, analytics, tech consulting, entrepreneurship

Behavioral research, UX research, people analytics

Sustainability roles, government, NGOs, compliance

Content strategy, PR, branding, publishing

Bioethics, healthcare policy, pre-med narrative competence