This course lays primary focus on the techniques, theory and application along with interpersonal, team working and IT skills. The course applies the principles of the latest programming languages, introduces you to information systems, computer software and hardware technologies, and implementation of databases, and develops your further understanding of application development at the final level.

*London Metropolitan University authorises and approves Informatics College Pokhara to deliver and assess part or all of the course. This course is also taught and assessed at London Met's main campus in London, United Kingdom. London Met holds direct responsibility for quality assurance, curriculum content, and the teaching, learning and assessment strategy.

### Our Entry Requirements

##### Academic Level

- NEB +2 overall aggregate of 2.2 CGPA (55%) or above with each subject (theory and practical) grade D or above, and SEE Mathematics score of C ( 50%) or above.
- For A-Levels, a minimum of 3.5 credits and at least a grade D and above.

##### English Proficiency

- English NEB XII Marks ≥ 60% or 2.4 GPA

**
Applicants not meeting the aforementioned criteria for english can demonstrate their English proficiency
with the following internationally recognised English Tests:
**

##### For Level 4 or Year 1 BIT

- Pass in General Paper or English Language or IELTS 6 or PTE 53.

All other qualifications are evaluated on a case-by-case basis by London Metropolitan University

## Modules & Contents

Gain a comprehensive understanding of programming languages, information systems, software/hardware technologies and many more.

In this module you will learn fundamental concepts in computational mathematics, and a particular way of thinking. Both mathematics and computer programming nourish precision thinking, which is necessary for solving problems that require exact solutions. The module also aims to make you a better computer programmer. You will learn the power of mathematical reasoning and acquire the practical skill of programming in Python - a popular programming language used commercially for data processing. Topics taught include sets and relations, number systems, sequences, iterations, Boolean algebra, parity, invariance, finite strategy games, recursion, polynomials, probability, matrices and elementary graph theory.

In this module you will learn fundamental concepts in computational mathematics, and a particular way of thinking. Both mathematics and computer programming nourish precision thinking, which is necessary for solving problems that require exact solutions. The module also aims to make you a better computer programmer. You will learn the power of mathematical reasoning and acquire the practical skill of programming in Python - a popular programming language used commercially for data processing. Topics taught include sets and relations, number systems, sequences, iterations, Boolean algebra, parity, invariance, finite strategy games, recursion, polynomials, probability, matrices and elementary graph theory.

In this module you will learn fundamental concepts in computational mathematics, and a particular way of thinking. Both mathematics and computer programming nourish precision thinking, which is necessary for solving problems that require exact solutions. The module also aims to make you a better computer programmer. You will learn the power of mathematical reasoning and acquire the practical skill of programming in Python - a popular programming language used commercially for data processing. Topics taught include sets and relations, number systems, sequences, iterations, Boolean algebra, parity, invariance, finite strategy games, recursion, polynomials, probability, matrices and elementary graph theory.