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Bachelor of Science in Combined Mathematics/Computer Science

Regina

 

INTAKE: Jan, May & Sept

Program Overview

The Bachelor of Science in Combined Mathematics/Computer Science program at the University of Regina is an interdisciplinary degree that integrates concepts from mathematics and computer science. This program provides students with a strong foundation in mathematical theory, computational techniques, and programming skills, preparing them for careers in fields such as software development, data analysis, cryptography, and more. The Bachelor of Science in Combined Mathematics/Computer Science program at the University of Regina offers a comprehensive and interdisciplinary education that equips students with the knowledge, skills, and experience needed for careers in mathematics, computer science, and related fields. With its emphasis on mathematical theory, computational techniques, software development, and practical applications, the program prepares students for diverse and rewarding career opportunities in industry, research, academia, and beyond.

Curriculum:

  1. Core Mathematics Courses: The program begins with foundational courses in mathematics, covering topics such as calculus, linear algebra, discrete mathematics, and probability theory. These courses provide students with a solid understanding of mathematical concepts and techniques, essential for advanced study in mathematics and computer science.

  2. Core Computer Science Courses: In addition to mathematics courses, students take core computer science courses that introduce fundamental concepts in programming, algorithms, data structures, and computer architecture. Students learn programming languages such as Java, Python, or C++, and gain hands-on experience with software development tools and environments.

  3. Mathematical Modeling and Analysis: The program includes courses in mathematical modeling and analysis, where students learn how to formulate mathematical models to represent real-world problems and apply computational techniques to solve them. Mathematical modeling courses cover topics such as optimization, simulation, differential equations, and numerical methods.

  4. Algorithm Design and Analysis: Students study advanced algorithms and algorithmic techniques used to solve computational problems efficiently. Topics may include algorithm design paradigms, algorithm analysis, complexity theory, and algorithmic problem-solving strategies. Students learn how to analyze the efficiency and correctness of algorithms and apply them to solve complex problems in computer science and mathematics.

  5. Data Structures and Algorithms: The program emphasizes the design and implementation of data structures and algorithms to store, retrieve, and manipulate data efficiently. Students learn about various data structures such as arrays, linked lists, trees, graphs, and hash tables, and explore algorithms for searching, sorting, and graph traversal.

  6. Software Development: Students gain practical experience in software development through project-based courses or software engineering courses. They learn software development methodologies, version control systems, software testing techniques, and best practices for designing, implementing, and maintaining software systems. Students may work on team projects to develop software solutions to real-world problems.

  7. Database Systems: The program includes courses in database systems, where students learn about database design, data modeling, query languages, and database management systems. Students gain proficiency in designing and implementing relational databases, performing database queries, and developing database-driven applications.

  8. Artificial Intelligence and Machine Learning: Students may have the opportunity to explore topics in artificial intelligence (AI) and machine learning (ML), including algorithms for pattern recognition, data classification, and predictive modeling. Students learn about AI techniques such as neural networks, genetic algorithms, and reinforcement learning and their applications in areas such as robotics, natural language processing, and data analysis.

  9. Cryptography and Security: The program covers topics in cryptography and computer security, where students learn about encryption algorithms, cryptographic protocols, network security, and cybersecurity threats. Students study methods for securing computer systems, protecting data confidentiality and integrity, and detecting and mitigating security vulnerabilities.

  10. Elective Courses and Specializations: Students have the opportunity to customize their degree by selecting elective courses or specializations based on their interests and career goals. Elective courses may cover specialized topics such as numerical analysis, combinatorics, computer graphics, bioinformatics, or game development. Specializations allow students to focus their studies in specific areas of mathematics or computer science.

  11. Internship Opportunities: Some programs offer internship or co-op opportunities that allow students to gain practical work experience in industry or research settings. Internships provide students with valuable hands-on experience, industry connections, and professional development opportunities, enhancing their employability upon graduation.

  12. Research Opportunities: Students may have the opportunity to participate in research projects under the supervision of faculty mentors. Research opportunities allow students to explore cutting-edge topics in mathematics and computer science, contribute to ongoing research initiatives, and develop research skills such as problem-solving, critical thinking, and data analysis.

  13. Professional Development: The program offers professional development resources and career services to help students prepare for their future careers. Students receive guidance on resume writing, interview skills, job search strategies, 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 Combined Mathematics/Computer Science from the University of Regina opens up a wide range of promising career opportunities in various sectors where mathematical and computational expertise is highly valued. This interdisciplinary program equips students with a solid foundation in both mathematics and computer science, preparing them for diverse roles in technology, finance, research, academia, and more. The Bachelor of Science in Combined Mathematics/Computer Science program at the University of Regina provides graduates with a strong foundation in both mathematical theory and computer science principles, preparing them for diverse and rewarding career opportunities in technology, finance, research, education, and entrepreneurship. With their interdisciplinary skills, analytical mindset, and problem-solving abilities, graduates are well-equipped to succeed in today's dynamic and technology-driven job market.

  1. Software Developer/Engineer: Graduates can pursue careers as software developers or engineers, designing, developing, and maintaining software applications, systems, and platforms. They utilize their strong programming skills and mathematical background to create efficient algorithms, implement software solutions, and troubleshoot technical issues. Employment opportunities exist in software companies, tech startups, government agencies, and corporate IT departments.

  2. Data Analyst/Scientist: With their proficiency in mathematical modeling, statistics, and programming, graduates are well-suited for roles as data analysts or scientists. They analyze large datasets, extract meaningful insights, and develop predictive models to support decision-making processes in industries such as finance, healthcare, marketing, and e-commerce. Data analysts work for companies, research institutions, consulting firms, and government agencies.

  3. Systems Analyst: Graduates may work as systems analysts, analyzing business requirements, designing information systems, and implementing technology solutions to meet organizational needs. They collaborate with stakeholders to gather requirements, assess system capabilities, and recommend software solutions. Systems analysts play a critical role in optimizing business processes, improving efficiency, and ensuring the alignment of technology with business objectives.

  4. Software Quality Assurance (QA) Analyst: Graduates may pursue careers in software quality assurance, ensuring the reliability, functionality, and performance of software products and applications. QA analysts design and execute test plans, identify software defects, and work with development teams to resolve issues. They use mathematical modeling and statistical analysis to assess software quality and improve the user experience.

  5. Cryptographer/Security Analyst: Graduates with a strong understanding of cryptography and computer security can work as cryptographers or security analysts, protecting sensitive information, networks, and systems from cyber threats and attacks. They develop encryption algorithms, implement security protocols, and conduct vulnerability assessments to safeguard data confidentiality and integrity. Cryptographers and security analysts work for government agencies, financial institutions, cybersecurity firms, and technology companies.

  6. Quantitative Analyst (Quant): Graduates with expertise in mathematical modeling, statistics, and programming may pursue careers as quantitative analysts in finance, investment banking, and hedge funds. Quants develop mathematical models, analyze financial data, and assess market risk to inform trading strategies, investment decisions, and portfolio management. They use mathematical techniques to price financial instruments, predict market trends, and optimize investment returns.

  7. Research Scientist: Graduates interested in pursuing research careers can work as research scientists in academia, government laboratories, or research institutions. They conduct original research in areas such as computational mathematics, theoretical computer science, algorithm design, or artificial intelligence. Research scientists publish scholarly articles, present their findings at conferences, and contribute to advancements in mathematics, computer science, and related fields.

  8. Educator/Teacher: Graduates may pursue careers in education as mathematics or computer science educators, teaching at secondary schools, colleges, or universities. They inspire and mentor students, imparting knowledge about mathematical concepts, programming languages, and computational techniques. Educators develop curriculum materials, design instructional methods, and engage students in hands-on learning activities to foster critical thinking and problem-solving skills.

  9. Operations Research Analyst: Graduates can 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 mathematical models, perform simulations, and analyze data to improve operational efficiency, reduce costs, and enhance decision-making processes in organizations.

  10. Entrepreneur/Startup Founder: Graduates with entrepreneurial aspirations can start their own technology companies or startups, leveraging their mathematical and computational skills to develop innovative products, services, or solutions. They identify market opportunities, design prototypes, and build scalable software platforms to address unmet needs in various industries. Entrepreneurs collaborate with investors, partners, and customers to bring their ideas to fruition and drive business growth.

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