The SKUAST Kashmir-UET UG 2026 syllabus for the B.Sc. Economics & Data Science program at Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST Kashmir) mainly focuses on general aptitude and foundational knowledge other than deep specialization in physics or chemistry.
Below we have mentioned detailes of the syllabus, exam pattern, and preparation guidelines for this entrance exam.
1. Exam Overview
- Exam Name: UET UG 2026
- Course: B.Sc. Economics & Data Science
- Mode: Offline (OMR-based)
- Question Type: Multiple Choice Questions (MCQs)
- Level: Class 11th & 12th (General Science is Class 8–10 NCERT level)
2. Exam Pattern
The entrance test consists of 100 questions, each question of 1 mark. The paper is divided into five equal sections:
|
Section |
No. of Questions |
Marks |
|---|---|---|
|
General English |
20 |
20 |
|
General Knowledge |
20 |
20 |
|
General Science |
20 |
20 |
|
Basic Mathematics |
20 |
20 |
|
Computer Applications |
20 |
20 |
|
Total |
100 |
100 |
3. Detailed Subject-Wise Syllabus
A. General English
Focuses on grammar, vocabulary, and basic language usage.
- Tenses, Narration (Direct/Indirect), Modals, and Articles.
- Active & Passive Voice, Prepositions, and Clauses.
- Synonyms, Antonyms, and Homonyms (Pairs of words).
- Idioms & Phrases.
- Rearrangement of jumbled sentences and sentence correction.
B. General Awareness & General Intelligence
A mix of current affairs and mental ability.
- GK: National and international current events, Modern Indian History, and Indian Geography (Physical, Social, Economic).
- Reasoning: Verbal and non-verbal reasoning, analogies, similarities/differences, number series, spatial visualization, decision-making, and problem-solving.
C. General Science
Based primarily on NCERT Class 8–10 levels.
- Physics/Chemistry: Sources of energy, properties of metals and non-metals, chemical properties of air/water, acids, and salts.
- Biology: Life processes (Nutrition, Respiration, Transportation, Excretion).
- Environment: Ecosystem components, food chains, food webs, and environmental pollution.
D. Basic Mathematics
Critical for data science foundation.
- Arithmetic: Real numbers, percentages, ratio & proportion, profit & loss.
- Algebra: Polynomials, linear and quadratic equations, arithmetic progression.
- Geometry: Coordinate geometry, introduction to Trigonometry (heights & distances).
- Data/Calculus: Mensuration (area/volume), Statistics, and Probability.
E. Computer Applications
Tests basic digital literacy.
- Fundamentals of computer science (Hardware vs. Software).
- Input and Output devices.
- Operating Systems and the Internet/Email.
- MS Office: Proficiency in MS Word, Excel, PowerPoint, and Access.
4. Key Preparation Tips
- Data Focus: Since the course is in Economics and Data Science, focus heavily on Mathematics (Statistics/Probability) and Logical Reasoning.
- NCERT Basics: Use NCERT textbooks for General Science and Mathematics to ensure a strong foundation.
- Regular Updates: Read daily newspapers for the General Awareness section.
- Practice: Solve previous year question papers to understand the balancing of time across the five sections.
