Undergraduate Catalog

Bachelor of Science in Applied Mathematics, Statistics and Data Science Requirements

The BSc in Applied Mathematics, Statistics, and Data Science program offers training in mathematical problem-solving techniques with a reduced emphasis on abstract theory. The program is tailored to the student who will need to apply mathematical, statistical, and computational methods to practical problems.

Applied mathematics includes the theoretical portions of physics, chemistry, biomedicine, engineering, economics, finance, and a wide variety of other disciplines. Recent advances in computing technology have made the use of quantitative methods of even greater importance in these disciplines.

Prospects for employment opportunities for graduates in the mathematical and statistical sciences are excellent. There is a growing demand for professional mathematicians and statisticians in almost every sector of the job market, including the engineering and telecommunications industries; computer services and software development; actuarial and financial services; pharmaceutical industry and medical services; market research agencies; government laboratories and the military services; as well as academics and teaching.

Program Educational Objectives

  • Graduates will meet the expectations of employers of applied mathematicians and statisticians.
  • Qualified graduates will pursue advanced study if they so desire.

Program Learning Outcomes

Students graduating with a B.Sc. in Applied Mathematics, Statistics, and Data Science will have achieved the following set of knowledge and performance-based skills, and affective competencies:

  1. An ability to read, understand and construct mathematical proofs.
  2. An ability to build and solve mathematical and statistical models that are suitable to real-world applications. 
  3. An ability to assess the applicability of data science methodologies to enable data analysis, interpretation and prediction. 
  4. An ability to use appropriate software packages and computer programming to solve mathematical, statistical and data science related problems.
  5. An ability to communicate mathematical ideas orally and in writing, to both technical and non-tech­nical audiences.
  6. An understanding of professional and ethical responsibility. 
  7. An ability to function in a team as a member or leader.
  8. An ability to use sources of scientific information and an understanding of how mathematical knowledge is generated.

 

Program Facilities

  • All lectures are conducted in a traditional classroom setting using both the whiteboard and PowerPoint software.
  • The laboratory classes are conducted in Computer Laboratories equipped with state-of-the-art mathematical and statistical software packages.

Professional Chapters and Clubs

Students are encouraged to take up Undergraduate Membership of one, or more, of the professional mathematical societies such as the Institute of Mathematics and its Applications (IMA), the Society for Industrial and Applied Mathematics (SIAM), the Mathematical Association of America (MAA) or the American Mathematical Society (AMS). There is also an active on-campus student Math Club that organizes student-focused seminars and competitions.

Our students have participated in a number of local and regional conferences, the annual UAE Math Day in particular, and have presented the results of their research conducted in collaboration with department faculty.

Degree Requirements

To be recommended for the degree of B.Sc. in Applied Mathematics, Statistics and Data Science, students must satisfactorily complete the courses in the specified categories as set out below. The normal length of the BSc in Applied Mathematics, Statistics and Data Science program is 123 credits, comprising 48 credits of University General Education Requirements and 75 credits of specific Mathematics Major Requirements distributed in the following categories:

Science/Engineering Electives (3 credits)

Students may select one course from the following list to satisfy their Science/Engineering Elective requirements for the BSc in Applied Mathematics, Statistics and Data Science. Additional courses may be approved by the department as Science/Engineering electives.

BIOL 111General Biology I

3

BIOL 112General Biology II

4

BMED 202Biomedical Engineering Fundamentals

4

BMED 211Human Anatomy

4

BMED 321Mechanics for Biomedical Engineers

4

CHEM 116General Chemistry II

4

CHEM 211Fundamentals of Organic Chemistry

4

CIVE 180Engineering Graphics and Visualization

3

ESMA 200Engineering Economic Analysis

3

ESMA 341Simulation Modeling &Analysis

4

ESMA 351Production and Operations Management

3

ESMA 430Supply Chain and Logistics

4

ESMA 431Time Series Forecasting

3

ESMA 441Advanced Simulation

3

ESMA 451Operations Research II

3

ESMA 480Financial Engineering

3

MEEN 200Statics

3

MEEN 201Engineering Dynamics

3

MEEN 240Thermodynamics

3

PHYS 122University Physics II

4

Applied Mathematics, Statistics and Data Science Core Requirements (57 credits)

MATH 101Fundamentals of Mathematical Reasoning

3

MATH 231Calculus III

3

MATH 204Linear Algebra

3

MATH 206Differential Equations

3

MATH 224Real Analysis I

4

MATH 251Operations Research I

4

MATH 244Probability

3

MATH 352Complex Functions

3

MATH 315Advanced Linear Algebra with Applications to Data Science

3

MATH 316Partial Differential Equations

3

MATH 318Statistical Learning

3

MATH 319Numerical Analysis I

3

MATH 345Mathematical Statistics

3

MATH 346Mathematical and Statistical Software

3

MATH 399Internship

1

MATH 412Optimization

3

MATH 419Numerical Analysis II

3

MATH 497Senior Research Project I

3

MATH 498Senior Research Project II

3

Applied Mathematics, Statistics, and Data Science Technical Electives (15 credits)

To satisfy the B.Sc. in Applied Mathematics, Statistics, and Data Science Technical Elective requirement, students must take five courses from the following list. Students may be allowed to choose technical electives from the Mathematics of Financial Data and Decisions concentration or the Mathematics of Life Sciences concentration with department approval. Moreover, the department may approve additional courses.

MATH 317Nonparametric Statistics

3

MATH 320Mathematical Foundations of General Relativity

3

MATH 331Stochastic Processes

3

MATH 410Introduction to Topology

3

MATH 411Modern Algebra

3

MATH 413Game Theory

3

MATH 414Advanced Discrete Mathematics

3

MATH 415Design of Experiments

3

MATH 416Sample Survey Design and Analysis

3

MATH 417Measure and Probability Theory

3

MATH 431Discrete Mathematical Models in Biology

3

MATH 432Continuous Mathematical Models in Biology

3

MATH 475Model Calibration and Uncertainty Quantification

3

MATH 477Undergraduate Research

3

MATH 485Nonlinear Dynamics

3

MATH 491Direct Studies

No more than 3 credits of Independent Study and Research Course may be counted towards a student’s degree.

Applied Mathematics, Statistics and Data Science - Mathematics of Financial Data and Decisions (Concentration)

Students may select a Mathematics of Financial Data and Decisions Concentration before selecting the Science/Engineering Electives. A concentration at Khalifa University of Science and Technology leads to a specialized award or degree and will be specified on the diploma and the student’s academic record.

The Mathematics of Financial Data and Decisions concentration suggests the student to select BUSS 201 Fundamentals of Accounting and Finance as a Business Elective, and requires the student to select ISYE 480 Financial Engineering from the list of Science/Engineering Electives and replace all technical electives with five courses from the following list. Moreover, the department may approve additional courses.

MATH 317Nonparametric Statistics

3

MATH 331Stochastic Processes

3

MATH 423Financial Risk Analysis

3

MATH 424Optimal Control Thoery

3

MATH 425Financial Portfolio Management

3

MATH 426Finance in Discrete Time

3

MATH 475Model Calibration and Uncertainty Quantification

3

MATH 485Nonlinear Dynamics

3

Applied Mathematics, Statistics and Data Science – Mathematics of Life Sciences (Concentration)

Students may select a Mathematics of Life Sciences Concentration before selecting their Science/Engineering Electives. A concentration at Khalifa University of Science and Technology leads to a specialized award or degree and will be specified on the diploma and the student’s academic record.

The Mathematics of Life Sciences Concentration suggests the student to select BIOL 111 General Biology I from the list of Science/Engineering Electives, and requires the student to replace all technical electives with five courses from the following list. Moreover, the department may approve additional courses.

MATH 317Nonparametric Statistics

3

MATH 331Stochastic Processes

3

MATH 431Discrete Mathematical Models in Biology

3

MATH 432Continuous Mathematical Models in Biology

3

MATH 435Mathematical Imaging

3

MATH 475Model Calibration and Uncertainty Quantification

3

MATH 485Nonlinear Dynamics

3