DUAT Syllabus

The Digital University Admission Test (DUAT) assesses general aptitude, analytical ability, and basic subject readiness for postgraduate programmes.

Test Format

  • Online examination
  • 60 multiple-choice questions
  • Duration: 60 minutes
  • Negative marking: −0.25 for each incorrect answer

Syllabus Overview

The test includes general aptitude, reasoning, quantitative ability, mathematics, and English. Some programmes may include additional subject-specific components.

Detailed Syllabus

A. General Aptitude

  • Verbal aptitude (grammar, vocabulary, comprehension)
  • Analytical reasoning (logic, analogy, patterns)
  • Spatial reasoning

B. Quantitative Aptitude

  • Data interpretation (graphs, tables)
  • Numerical ability (percentages, ratios, exponents, series)
  • Basic geometry and mensuration

C. Mathematics (approximately 10th standard level)

  • Algebra (linear and quadratic equations)
  • Coordinate geometry
  • Basic trigonometry
  • Probability

D. English

  • Reading comprehension
  • Basic grammar and usage

Programme-wise DUAT Syllabus

Test Code: DUAT01

Programme: Master of Business Administration

General Aptitude (20 Marks)

Verbal aptitude: basic English grammar including tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech; vocabulary, idioms and phrases in context; narrative sequencing. Quantitative aptitude: data interpretation using graphs, plots, maps, and tables; numerical computation and estimation including ratios, percentages, powers, exponents and logarithms, permutations and combinations, summations and series, mensuration and geometry. Analytical aptitude: deduction and induction, analogy, numerical relations, and reasoning. Spatial aptitude: translation, rotation, scaling, mirroring, assembling, grouping, paper folding, cutting, and patterns in 2 and 3 dimensions.

Mathematics (20 Marks)

Probability, statistics, calculus, discrete mathematics, basic number theory, and algebra.

English Reading Comprehension (20 Marks)

Two paragraphs, each having 5-10 questions.

Test Code: DUAT02

Programme: M.Sc. Computer Science with specialisation in Data Analytics/Cyber Security/Artificial Intelligence; M.Sc. Data Science and Computational Modelling; MSc Data Science and FinTech

General Aptitude (20 Marks)

Verbal aptitude: basic English grammar, vocabulary, idioms and phrases in context, and narrative sequencing. Quantitative aptitude: data interpretation, numerical computation and estimation, mensuration and geometry. Analytical aptitude: deduction and induction, analogy, numerical relations, and reasoning. Spatial aptitude: transformation of shapes and patterns in 2 and 3 dimensions.

Mathematics (20 Marks)

Set theory; probability and statistics; algebra; coordinate geometry; calculus; vectors; trigonometry.

Computer Basics (20 Marks)

Organisation of a computer, CPU, instruction structure, input/output devices, memory, backup devices, data representation, binary and hexadecimal systems, binary arithmetic, two's complement arithmetic, floating-point representation, Boolean algebra, truth tables, and Venn diagrams.

Test Code: DUAT03

Programme: M.Sc. Electronics, M.Sc. Applied Physics

General Aptitude (20 Marks)

Verbal aptitude, quantitative aptitude, analytical aptitude, and spatial aptitude covering grammar, vocabulary, data interpretation, numerical computation, reasoning, and transformation of shapes.

Mathematics (10 Marks)

Linear algebra; calculus; differential equations; probability and statistics.

Solid State Physics, Devices, Electronics Circuits (30 Marks)

Crystal structure, Bravais lattices, Miller indices, X-ray diffraction, semiconductors, quantum theory, De Broglie wave, uncertainty principle, Bohr's atom model, p-n junction diode, Zener diode, BJT, amplifiers, MOS capacitor, MOSFET, LED, photodiode and solar cell, Boolean algebra, logic gates, DC and AC circuits, network theorems, oscillators, and OP-AMP circuits.

Test Code: DUAT04

Programme: MSc Ecology with specialisation in Ecological Informatics, MSc Environmental Science with specialisation in Environmental Data Science/Ecological Informatics/Sustainability Studies/Environmental Communication, and MSc Environmental Sustainability

General Aptitude (20 Marks)

Verbal aptitude, quantitative aptitude, analytical aptitude, and spatial aptitude covering grammar, vocabulary, data interpretation, numerical computation, reasoning, and transformation of shapes.

Elementary Mathematics and Computer Basics (10 Marks)

Number system, sets, functions, algebra, geometry, trigonometry, matrices and determinants, differentiation and integration, basic statistics and probability; fundamentals of computers, operating systems, algorithms, data types, operators, basics of the internet, programming languages, and software applications.

Subject Questions (Undergraduate Level, 30 Marks)

Properties of matter, thermodynamics, environmental physics, radiation laws, surface chemistry, atmospheric chemistry, water chemistry, geochemistry, green chemistry, biological molecules, toxicity of heavy metals, origin of life, cell structure and function, taxonomy, anatomy and physiology, reproduction, developmental biology, molecular biology, microbes, evolution, biogeography, biodiversity, ecosystems, earth processes, environmental geology, natural resources, energy resources, climate change, ozone depletion, acid rain, biodiversity loss, pollution control, disaster mitigation, environmental sustainability, Sustainable Development Goals, conservation, environmental legislation, international relations, and current affairs.

Test Code: DUAT05

Programme: M.Sc. Data Science and BioAI

General Aptitude (20 Marks)

Verbal aptitude, quantitative aptitude, analytical aptitude, and spatial aptitude covering grammar, vocabulary, data interpretation, numerical computation, reasoning, and transformation of shapes.

Mathematics (10 Marks)

Set theory; probability and statistics.

Biochemistry/Biotechnology/Chemistry (Undergraduate Level, 20 Marks)

Nucleic acids, DNA and RNA structure and functions, DNA replication, transcription, translation, proteins, enzymes, Human Genome Project, genome sequencing, genomic integrity, therapeutic proteins and vaccines, CRISPR technology, atomic structure, periodic properties, chemical bonding, molecular structure, chemical kinetics, stereochemistry, organic chemistry, medicinal chemistry, and computational chemistry.

Computer Basics (10 Marks)

Computer organisation, CPU, input/output devices, memory, backup devices, data representation, binary and hexadecimal representations, binary arithmetic, two's complement arithmetic, floating-point representation, Boolean algebra, truth tables, and Venn diagrams.

Test Code: DUAT06

Programme: M.Sc. Data Science and Geoinformatics

General Aptitude (20 Marks)

Verbal aptitude, quantitative aptitude, analytical aptitude, and spatial aptitude covering grammar, vocabulary, data interpretation, numerical computation, reasoning, and transformation of shapes.

Mathematics (10 Marks)

Statistics and probability, measures of central tendency and dispersion, skewness and kurtosis, elementary data analysis, conditional probability, multiplication rule, total probability, Bayes' theorem, and independence of events.

Earth and Environmental Sciences (20 Marks)

Structure and composition of environment, atmosphere, hydrosphere and lithosphere, earth processes, mineral and power resources in India, biogeochemical cycles, meteorology, climate change, agriculture land use, ecology and environment, biodiversity, natural resources and management, remote sensing, GIS, spatial data, vector and raster data, projections and coordinate systems.

Computer Basics (10 Marks)

Computer organisation, CPU, input/output devices, memory, backup devices, data representation, binary and hexadecimal representations, binary arithmetic, two's complement arithmetic, floating-point representation, Boolean algebra, truth tables, and Venn diagrams.

Test Code: DUAT07

General Aptitude (20 Marks)

Verbal aptitude, quantitative aptitude, analytical aptitude, and spatial aptitude covering grammar, vocabulary, data interpretation, numerical computation, reasoning, and transformation of shapes.

Mathematics (20 Marks)

Set theory; probability and statistics; algebra; coordinate geometry; calculus; vectors; trigonometry.

Computer Science (20 Marks)

Programming in C, recursion, arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs, algorithms, complexity, greedy methods, dynamic programming, divide-and-conquer, operating systems, databases, computer networks, machine learning, and artificial intelligence.

Important Note

Candidates may also be required to take programme-specific test components depending on the programme applied.

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