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Bachelor of Science in Applied Mathematics/Statistics

Regina

 

INTAKE: Jan, May & Sept

Program Overview

The Bachelor of Science in Applied Mathematics/Statistics program at the University of Regina offers students a dynamic interdisciplinary education that combines the theoretical principles of mathematics with the practical applications of statistics. This program is designed to equip students with a strong foundation in mathematical theory, statistical methods, and computational techniques, preparing them for careers in fields such as finance, data analysis, research, and more. The Bachelor of Science in Applied Mathematics/Statistics program at the University of Regina offers a comprehensive education that combines theoretical rigor with practical applications, preparing students for diverse and rewarding careers in mathematics, statistics, data analysis, and related fields. With its emphasis on mathematical theory, statistical methods, computational skills, and practical experience, the program equips students with the knowledge and skills needed to succeed in today's data-driven world.

Curriculum:

  1. Core Courses in Mathematics: The program begins with core courses in mathematics, covering topics such as calculus, linear algebra, differential equations, and discrete mathematics. These courses provide students with a solid mathematical foundation and develop their problem-solving and analytical skills, which are essential for advanced study in applied mathematics and statistics.

  2. Core Courses in Statistics: Students take core courses in statistics, introducing them to fundamental concepts and techniques in statistical theory and data analysis. Topics covered may include probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis. Through these courses, students learn how to collect, analyze, and interpret data using statistical software and methods.

  3. Applied Mathematics Electives: The program offers a variety of applied mathematics electives that allow students to tailor their education to their interests and career goals. Elective courses may cover specialized topics such as mathematical modeling, optimization, numerical analysis, mathematical finance, or operations research. Students have the flexibility to choose courses that align with their academic and professional interests.

  4. Statistics Electives: Similarly, students have the opportunity to select statistics electives that delve deeper into specific areas of statistical theory and practice. Elective courses may focus on advanced statistical methods, data mining, time series analysis, Bayesian statistics, or statistical computing. These electives provide students with specialized knowledge and skills relevant to their chosen career path.

  5. Computational Mathematics: The program emphasizes computational mathematics, teaching students how to use mathematical software packages and programming languages to solve mathematical problems and analyze data. Students learn how to write algorithms, implement numerical methods, and conduct simulations using tools such as MATLAB, Python, or R. Computational skills are essential for applied mathematicians and statisticians working in today's data-driven environment.

  6. Probability and Simulation: Students study probability theory and simulation methods, learning how to model random phenomena, simulate stochastic processes, and estimate probabilities. These skills are particularly valuable in fields such as finance, engineering, and risk management, where uncertainty and randomness play a significant role. Students gain practical experience in designing and conducting simulations to analyze complex systems and scenarios.

  7. Statistical Consulting and Communication: The program emphasizes statistical consulting and communication skills, preparing students to work collaboratively with clients, stakeholders, and researchers to address real-world problems. Students learn how to communicate statistical findings effectively through written reports, oral presentations, and visualizations. They develop the ability to translate complex statistical concepts into actionable insights for non-technical audiences.

  8. Research and Capstone Projects: In their final year, students have the opportunity to undertake research projects or capstone projects under the supervision of faculty mentors. Research projects allow students to apply mathematical and statistical methods to analyze data, conduct original research, and make contributions to their chosen field. Capstone projects integrate coursework with practical applications, allowing students to demonstrate their skills and knowledge in real-world settings.

  9. Internship Opportunities: Some programs offer internship or co-op opportunities that allow students to gain hands-on experience in industry or research settings. Internships provide students with valuable practical experience, industry connections, and professional development opportunities, enhancing their employability upon graduation. Students may work as statistical analysts, research assistants, or data scientists in various organizations.

  10. Professional Development and Career Preparation: The program offers professional development resources and career services to help students prepare for their future careers. Students receive guidance on resume writing, job search strategies, interview skills, and networking opportunities. Career advisors provide personalized support and connect students with internship opportunities, job openings, and industry contacts.

Pollster Education

Location

Regina

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

CAD 20500

Entry Requirements for Undergraduate Programs:

Application Fee: CAD $100

Academic Qualifications: Indian students applying for undergraduate programs are required to have completed their 10+2 education from a recognized Indian board or institution. The minimum academic requirement is 55% minimum in Grade 12.

English Language Proficiency: The University of Regina requires IELTS score of overall 6.5 bands with no band less than 6. Minimum requirement for TOEFL iBT is overall 80 with no band less than 19. PTE overall score of 59 is required & DET score of 120 is required.

The University of Regina offers a range of scholarships and financial aid opportunities to support international students in their educational journey. These scholarships are designed to recognize academic excellence, provide financial assistance, and attract talented students from around the world. 

Entrance Scholarships: The University of Regina offers several entrance scholarships for international students applying to undergraduate programs. These scholarships are awarded based on academic achievements and vary in value. Eligible students are automatically considered for these scholarships upon admission.

International Excellence Scholarship: This scholarship is available to both undergraduate and graduate international students who demonstrate academic excellence and leadership potential. The scholarship ranges in value and is renewable for multiple years of study.

President's Scholarship for World Leaders: This prestigious scholarship is awarded to exceptional international students entering their first year of undergraduate studies. It covers tuition fees and provides a living allowance. Recipients are selected based on academic achievements, leadership qualities, and community involvement.

Donor-Funded Scholarships: The university receives generous contributions from donors who establish scholarships to support international students. These scholarships may have specific eligibility criteria, such as academic performance, financial need, or specific areas of study.

Government Scholarships: International students may also be eligible for scholarships offered by their home country's government or other external funding agencies. The University of Regina assists students in exploring and applying for these opportunities.

It is important to note that scholarship availability, criteria, and application deadlines may vary each year. Therefore, it is recommended for prospective international students to visit the official University of Regina website and the specific scholarship pages for the most up-to-date and detailed information.

Graduating with a Bachelor of Science in Applied Mathematics/Statistics from the University of Regina opens up a plethora of exciting career opportunities across various industries. The program equips students with a blend of mathematical theory, statistical methods, and computational skills, making them valuable assets in fields such as finance, data analysis, research, and beyond. The Bachelor of Science in Applied Mathematics/Statistics program at the University of Regina provides graduates with a versatile skill set and prepares them for diverse and rewarding career paths in mathematics, statistics, data analysis, and beyond. With their analytical skills, quantitative expertise, and problem-solving abilities, graduates are well-equipped to succeed in today's competitive job market and make meaningful contributions to their chosen fields.

  1. Data Analyst/Data Scientist: With their proficiency in statistical analysis and computational techniques, graduates can pursue careers as data analysts or data scientists. They analyze large datasets, extract insights, and communicate findings to drive business decisions in industries such as finance, healthcare, marketing, and technology. Data analysts and data scientists are in high demand, particularly in sectors undergoing digital transformation.

  2. Financial Analyst/Quantitative Analyst: Graduates can work as financial analysts or quantitative analysts, leveraging their mathematical and statistical expertise to analyze financial data, develop models, and make investment decisions. They may work for banks, investment firms, hedge funds, or financial services companies, assessing market trends, managing risk, and optimizing investment portfolios using quantitative methods.

  3. Actuarial Analyst: Graduates with a strong background in mathematics and statistics are well-suited for roles as actuarial analysts in insurance companies, financial institutions, and consulting firms. Actuarial analysts assess risk, price insurance policies, and develop financial models to help organizations manage uncertainty and make strategic decisions. Actuarial roles offer competitive salaries and opportunities for professional growth.

  4. Statistical Consultant: Graduates may work as statistical consultants, providing expertise to organizations seeking to analyze data and solve complex problems. They collaborate with clients from various industries to design research studies, develop statistical models, and interpret results. Statistical consultants may work independently or as part of consulting firms, offering customized solutions to meet clients' specific needs.

  5. Market Research Analyst: Graduates can pursue careers as market research analysts, collecting and analyzing data to assess market trends, consumer preferences, and competitive landscapes. They design surveys, conduct market research studies, and provide insights to help companies make informed decisions about product development, marketing strategies, and business expansion. Market research analysts work in diverse industries, including advertising, retail, and consumer goods.

  6. Biostatistician/Public Health Analyst: Graduates interested in healthcare can work as biostatisticians or public health analysts, analyzing health-related data to inform public health policies, assess disease trends, and evaluate healthcare interventions. They collaborate with epidemiologists, medical researchers, and healthcare professionals to design studies, analyze data, and communicate findings to stakeholders. Biostatisticians play a critical role in improving public health outcomes and healthcare delivery.

  7. Operations Research Analyst: Graduates may work as operations research analysts, applying mathematical modeling and optimization techniques to solve complex business problems in areas such as logistics, supply chain management, and resource allocation. They develop models, perform analyses, and make recommendations to improve operational efficiency, reduce costs, and enhance decision-making processes in organizations.

  8. Research Analyst/Assistant: Graduates can work as research analysts or research assistants in academic institutions, research organizations, or corporate research departments. They support research projects by collecting and analyzing data, conducting literature reviews, and preparing research reports. Research analysts may specialize in fields such as social sciences, environmental science, business, or economics, contributing to scholarly research and applied research initiatives.

  9. Quality Assurance Analyst: Graduates may work as quality assurance analysts, ensuring the accuracy, reliability, and integrity of data and processes within organizations. They develop and implement quality control procedures, conduct data validation and verification activities, and identify opportunities for process improvement. Quality assurance analysts play a vital role in maintaining data quality standards and regulatory compliance in various industries.

  10. Graduate Studies and Academia: Graduates interested in pursuing advanced studies can enroll in graduate programs in applied mathematics, statistics, data science, or related fields. A master's or doctoral degree opens up opportunities for careers in academia, research, and specialized fields such as computational mathematics, machine learning, or bioinformatics. Graduates may become professors, researchers, or statisticians in academic institutions, research laboratories, or government agencies.

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