Program Overview
The PhD program in Theoretical and Computational Science at the University of Lethbridge prepares students for research and academic careers. It combines coursework in mathematics, computer science, and statistics with original research culminating in a thesis. The program emphasizes developing students' research skills and preparing them for careers in academia, industry, and other sectors.
Program Outline
Degree Overview:
Overview:
The PhD program in Theoretical and Computational Science at the University of Lethbridge is a four-year program that prepares students for careers in research and academia. The program combines coursework with original research, culminating in a thesis that makes a significant contribution to the field.
Objectives:
- To provide students with a deep understanding of the theoretical and computational foundations of science.
- To develop students' research skills and abilities.
- To prepare students for careers in research and academia.
Program Description:
The program consists of coursework and a thesis. The coursework includes core courses in mathematics, computer science, and statistics, as well as elective courses in specialized areas of interest. The thesis is the most significant component of the program and involves original research.
Outline:
The program is structured as follows:
- Year 1: Core coursework in mathematics, computer science, and statistics.
- Year 2: Elective coursework and research.
- Year 3: Thesis research.
- Year 4: Thesis completion and defense.
Assessment:
Students are assessed through a variety of methods, including:
- Coursework: Students are assessed through exams, quizzes, and assignments.
- Thesis: Students are assessed on the quality of their thesis research and writing.
- Comprehensive examination: Students are required to pass a comprehensive examination within the first two years of the program.
Teaching:
The program is taught by a team of experienced faculty members who are active researchers in their fields. The faculty use a variety of teaching methods, including lectures, seminars, and tutorials. The program also offers a number of opportunities for students to get involved in research, including research assistantships and independent study courses.
Careers:
Graduates of the program are prepared for careers in research and academia. They may also find employment in industry, government, and non-profit organizations.
Potential Career Paths:
- Researcher
- Cryptologist
- Statistician
- Actuary
- Economist
- Investment Banker
- Computer Scientist
- Systems Analyst
- Software Developer
- Physicist
- Geologist
- Meteorologist
- Astronomer
- Ecologist
- Epidemiologist
- Biomathematician
- Biostatistician
- Operations Research Analyst
- Sales Manager