ABOUT MCA ENTRANCE EXAM COURSE

One Bit Extra offers a comprehensive preparation course for students who want to secure admission in the MCA program of Maharshi Dayanand University, Rohtak. The MDU MCA Entrance Preparation Course is specially designed according to the latest entrance exam pattern and syllabus to help students build strong conceptual knowledge and improve their problem-solving skills. This course prepares you to get admission in

  • MCA
  • M.Sc. Computer Science
  • M.Sc. in DS & ML

  • This course covers all the four subjects

  • English
  • Mathematics
  • Reasoning
  • Computer
  • Through our MDU MCA Entrance Coaching, students receive structured guidance from experienced faculty members who have deep knowledge of the exam pattern of Maharshi Dayanand University MCA Entrance.

    The program includes -
  • Notes
  • 53+ Video lectures
  • MCQ
  • Previous year papers with solutions
  • Mock test or live test
  • 2000+ Practice questions

  • Our course also includes MDU MCA Mock Tests designed to simulate the real entrance exam environment. These tests help students evaluate their preparation level, improve time management, and identify weak areas. Along with mock tests, students receive complete MDU MCA Study Material, including notes, practice questions, and previous year question discussions.

    SUCCESS STORY


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    MDU MCA ENTRANCE SYLLABUS


    Computer

    Computer Basics: Organization of a computer, Central Processing Unit (CPU), Structure of instructions in CPU, input/output devices, computer memory, memory organization, back-up devices.

    Data Representation: Representation of characters, integers and fractions, binary and hexadecimal representations, Binary Arithmetic: Addition, subtraction, division, multiplication, single arithmetic and two complement arithmetic, floating point representation of numbers, Boolean algebra, truth tables, Venn diagrams.

    Computer Architecture: Block structure of computers, communication between processor and I/O devices.

    Computer Language: Assembly language and high-level language, Multiprogramming and time-sharing operating systems.

    Flow chart and Algorithm, Fundamentals of Operating System.

    Basics of Internet, Internet applications, E-mail, WWW, Basic HTML.

    Maths

    Algebra: Fundamental operations in Algebra, expansion, Factorization, quadratic equations, indices, logarithms, arithmetic, geometric and harmonic progressions, binomial theorem, permutations and combinations, surds.

    Set Theory:Sets and subsets, operations on sets, sequences, properties of integers, relations and functions.

    Vector:Position vector, addition and subtraction of vectors, scalar and vector products and their application to simple geometric problems and mechanics.

    Trigonometry:Simple identities, trigonometric equations, properties of triangles, solution of triangles, height and distance, inverse functions.

    Probability and Statistics:Basic concepts of probability theory, Averages, Dependent and independent events, frequency distributions, and measures of dispersions, skewness and kurtosis, random variable and distribution functions, mathematical expectations, correlation and regression.

    Reasoning

    Verbal Reasoning, Jumbled Paragraphs/Para-jumbles, Assertion & Reason, Summary Questions, Reading Comprehension, Logical Reasoning, Data Interpretation (Tables, Charts, Graphs).

    Syllogism, Statement and Arguments, Statement and Assumptions, Statement and Courses of Action, Statement and Conclusions, Deriving Conclusion, Punch lines, Situation Reaction Tests, Cause and Effect, Analytical Reasoning.

    Alphabet Test, Sitting Arrangements, Mathematical Operations, Arithmetical Reasoning, Inserting the Missing Character, Number, Ranking and Time Sequence Test, Eligibility Test.

    English

    1. Use of articles and prepositions
    2. Idioms and phrases
    3. Synonyms
    4. Reading comprehension
    5. Expansion of an idea
    6. Sentence sequence (jumbled sentences)
    7. Completion of a sentence (with choices)
    8. Choice of appropriate word to fill in the blanks (with options)
    9. Abridging sentences/paragraphs

    Frequently Asked Questions

    Que 1- What is the duration of the entrance exam?

    Ans- 75 minutes

    Que 2- Is the course Applicable for M Sc. in Data science & Machine Learning?

    Ans- Yes, the course is applicable for M Sc. in Data science & Machine Learning

    Que 3- How many questions are there?

    Ans- 100 Multiple choice questions

    Que 4- What is distribution of the marks?

    Ans- Computer-40, Reasoning-40, English-10, Maths-10

    Que 5- Does our course include previous year papers?

    Ans- Yes, we have last four year question papers.

    Que 6- What type of questions asked in exams?

    Ans- Mcq type - There ar four options for each question.

    Que 7- Is the course Applicable for M Sc. computer science?

    Ans- Yes, the course is applicable for M Sc. computer science

    Que 8- What is the expected month of this test?

    Ans- Last year it was conducted on 19 July.

    Que 9- Is their negative marking?

    Ans- No

    Que 10- How many seats in MCA?

    Ans- There are total 60 seats in MCA.

    Que 11- How many seats in M Sc. in Computer Science?

    Ans- There are total 40 seats in MCA.

    Que 12- How many seats in M Sc. in Data science & Machine Learning?

    Ans- There are total 40 seats in MCA.