BS Mathematics | GIFT University

BS Mathematics

Introduction:

Mathematics is the science that deals with the logic of shape, quantity and arrangement. Math is all around us, in everything we do. It is the building block for everything in our daily lives, including mobile devices, architecture (ancient and modern), art, money, engineering, and even sports.

People often wonder what relevance mathematicians serve today. In a modern world, math such as applied mathematics is not only relevant, it's crucial. Applied mathematics is a branch of mathematics that is involved in the study of the physical, biological, or sociological world. The idea of applied math is to create a group of methods that solve problems in science. Modern areas of applied math include mathematical physics, mathematical biology, control theory, aerospace engineering, and mathematical finance. Not only does applied math solve problems, but it also discovers new problems or develops new engineering disciplines. Applied mathematicians require expertise in many areas of math, science, physical intuition, common sense and collaboration. The common approach in applied math is to build a mathematical model of a phenomenon, solve the model and develop recommendations for performance improvement.

Mathematics is both an art and a science- and pure mathematics lies at its heart. Pure mathematics explores the boundary of mathematics and pure reason. It has been described as "that part of mathematical activity that is done without explicit or immediate consideration of direct application," although what is "pure" in one era often becomes applied later. Finance and cryptography are current examples of areas to which pure mathematics is applied in significant ways. Pure mathematics is driven by abstract problems and used to design mathematical model of the real world problems. Much of what's pursued by pure mathematicians can have their roots in concrete physical problems, but a deeper understanding of these phenomena brings about problems and technicalities. These abstract problems and technicalities are what pure mathematics attempts to solve and these attempts have led to major discoveries for mankind, including the Universal Turing Machine.

Computational mathematics involves mathematical research in areas of science where computing plays a central and essential role, emphasizing algorithms, numerical methods and symbolic methods.

 

Program Objectives:

  1. To enhance the knowledge of students to move to higher levels of independent learning.
  2. To be a resource in the mathematical sciences for other disciplines whose own activities have an ever-increasing need for the power of the mathematics.
  3. To work closely not only with colleagues from other discipline within university but also with colleagues from the local schools and community colleges who share the responsibility of ensuring the flow of a mathematically literate and confident generation of new students.
  4. To embrace the notion such that change such as is manifested in computer technologies and educational reforms can be beneficial.
  5. To enhance learning and enrich the intellectual environment.
  6. To utilize mathematics as a tool in various field of industrial and applied sciences.
  7. To provide quality education with modern and scientifically tools so that graduates may possess global outlook.
 

Learning Outcomes:

  1. Use mathematical models to solve practical problem.
  2. Read mathematics with understanding and communicate mathematical ideas with clarity and coherence.
  3. Perform standard mathematical computations with accuracy.
  4. Use technology to solve mathematical problems.
 

Minimum Eligibility Criteria:

  1. Intermediate with Mathematics (min 50% marks) or equivalent.
  2. Diploma of Associate Engineering Examination (min 60% marks).
  3. Relevant level NTS test is also acceptable for admissions.
 

Selection Criteria:

Inter marks or equivalent or Diploma and written test.

 

Program Structure:

 

Structure

No of Courses

Credit Hours

Compulsory Requirements

9

27

General Courses

 8

27

Discipline Specific Foundation Courses

 10

30

Major Courses including Research Project

 10 + Project

33

Elective Courses within the Major

  4

 12

Total

41 + Project

129

 

Minimum Eligibility Criteria:

 
  1. Intermediate with Mathematics (min 50% marks) or equivalent.
  2. Diploma of Associate Engineering Examination (min 60% marks).
  3. Relevant level NTS test is also acceptable for admissions.
 

Selection Criteria:

Inter marks or equivalent or Diploma and written test.

 

Enquiries

The Admission Office at GIFT University deals with the enquiries concerning admissions. The prospective candidates are advised to consult this office during working hours of the University.

 

General Criteria to Apply

  • The candidate fulfills the eligibility conditions of the program.
  • The candidate must have earned the eligibility qualification from a recognized educational institution.
  • Good proficiency in English language.
  • The candidate has not been debarred on disciplinary grounds during his earlier educational career.
 

Admission Application

  • Applications for admissions are invited through advertisement in the media. The prospective candidates are advised to obtain the University Prospectus, Application Form and Admission Schedule from the Admissions Office. They may make queries to the officer on duty for further information.
  • Admission Application should be submitted together with all required documents within the prescribed time limit in the Student Affairs Centre Admissions Office.
  • Online Applicants can apply just by filling the required fields of Online Application Form. Their documents will be verified at the day of admissions test and interview.
  • After admission test and interview, the Admission Committee will advise the successful candidates to deposit fee and other dues in the Accounts Office within the specified time limit.
  • On payment of fee and dues, the Accounts Office will issue the Registration Number to the candidate. at least two days prior to the commencement of the semester.