Computer Science and Mathematics (Statistics and Computing)

The Bachelor of Science in Computer Science and Mathematics (Statistics and Computing) at Carleton University offers students a comprehensive and rigorous education at the intersection of computer science and mathematical sciences. This interdisciplinary program is designed for students who are passionate about the theoretical foundations and practical applications of algorithms, data analysis, statistical modeling, and computational techniques. Throughout the program, students will acquire a strong understanding of programming languages, software development, data structures, algorithms, and tools used in data analysis and statistical computing.

The curriculum balances core coursework in computer science and mathematics with specialized electives in statistics and computing, ensuring graduates are well-equipped for careers in data science, software engineering, research, and other fields where analytical skills and computational proficiency are essential. Students will learn to develop and implement algorithms, analyze complex data sets, and utilize statistical methods to solve real-world problems across various industries including finance, health, technology, and government.

In addition to technical expertise, the program emphasizes critical thinking, problem-solving, and effective communication skills vital for professional success. Students will have opportunities to participate in research projects, internships, and cooperative education placements, gaining practical experience and industry connections. The program is supported by state-of-the-art laboratories and resources that foster experiential learning and innovation.

Graduates of this program will be prepared for advanced studies or immediate employment in roles such as data analysts, software developers, statisticians, data engineers, and research scientists. With a curriculum grounded in the latest developments in computer science and mathematical sciences, students will develop a versatile skill set to thrive in a rapidly evolving technological landscape. The program's combination of theoretical foundation and applied skills makes it an excellent choice for those seeking to become leaders in data-driven decision making and computational research.

The Bachelor of Computer Science and Mathematics (Statistics and Computing) at Carleton University offers students a comprehensive interdisciplinary education that combines core principles of computer science with advanced mathematical and statistical techniques. This program is designed to prepare graduates for a wide range of careers in data science, software development, analytics, research, and more. Throughout the program, students will develop strong programming skills, gain a solid understanding of algorithms, data structures, and software engineering practices, alongside in-depth knowledge of statistical theory, data analysis, and mathematical modeling. The curriculum emphasizes practical experience through laboratory work, projects, and internships, allowing students to apply their knowledge in real-world contexts. Key areas of study include programming languages such as Python, Java, and C++, database systems, machine learning, artificial intelligence, data visualization, and big data technologies. The program also delves into discrete and continuous mathematics, linear algebra, calculus, probability theory, and statistical inference, which form the foundation for analytical problem-solving and decision-making. Students will have opportunities to specialize in areas like data analysis, machine learning, software engineering, or mathematical modeling, depending on their interests and career goals. The program fosters critical thinking, problem-solving abilities, and effective communication skills, essential for working in multidisciplinary teams and industry settings. Carleton’s state-of-the-art laboratories and collaborations with industry partners provide students with valuable hands-on experience and networking opportunities. Graduates of this program are well-equipped to pursue advanced studies or launch careers in technology companies, research institutions, finance, government agencies, and consulting firms. Overall, the Bachelor of Computer Science and Mathematics (Statistics and Computing) combines rigorous academic training with practical applications, equipping students with versatile skills to thrive in the rapidly evolving fields of data and computing technology.

Program Requirements for Bachelor of Science in Computer Science and Mathematics (Statistics and Computing):

The Bachelor of Science in Computer Science and Mathematics (Statistics and Computing) at Carleton University requires completion of a minimum of 120 university credits, including core courses, specialized electives, and a capstone project. Students must satisfy university-wide undergraduate degree requirements, including a minimum of 60 credits at the 3000 or 4000 level. The program emphasizes foundational knowledge in computer science, including programming, algorithms, software engineering, and systems, as well as in-depth study of mathematical concepts relevant to statistics and computing.

To graduate, students must successfully complete mandatory courses such as Introduction to Programming, Data Structures and Algorithms, Discrete Mathematics, Linear Algebra, and Calculus. Advanced courses include Database Systems, Operating Systems, Artificial Intelligence, Machine Learning, and Big Data Analytics. The program also offers electives in data visualization, statistical inference, and computational methods. Practical experience is integrated through project-based courses, lab work, and internships, designed to prepare students for professional roles in data analysis, software development, and research.

The program further requires students to demonstrate proficiency in programming languages such as Python, R, and Java, along with a strong grasp of statistical theory and mathematical modeling. Communication skills are developed through written reports and presentations, which are essential for roles involving data interpretation and technical documentation. Students are encouraged to participate in research projects, industry collaborations, and co-op work placements to enhance their practical expertise.

In addition, the program mandates that students complete a capstone project in their final year, integrating knowledge from computer science and mathematics to solve real-world problems. Regular assessments, including exams, assignments, and project reports, ensure student competency and progress throughout the program. The curriculum is designed to align with current industry standards and technological advancements, preparing graduates for careers in data science, software engineering, research, and academia.

The Carleton University offers a range of financial assistance options for students enrolled in its Computer Science and Mathematics (Statistics and Computing) programs. Prospective and current students can access various funding sources to support their studies, including government-sponsored loans, scholarships, bursaries, and assistantships. The university's Financial Aid Office provides comprehensive guidance on eligibility and application procedures for these financial resources. The Ontario Student Assistance Program (OSAP) is a primary loan and grant program available to eligible students, offering means-tested financial support to help cover tuition fees, living expenses, and other educational costs. Additionally, Carleton University awards numerous scholarships based on academic achievement, leadership qualities, and community involvement. These include entrance scholarships for high-achieving applicants and in-course awards for continuing students demonstrating excellence in their studies. Bursaries are also available for students facing financial hardship, often requiring demonstration of need through documentation. For graduate students, there are departmental teaching and research assistantships that provide valuable work experience along with financial support. External funding sources, such as national and provincial research grants, can also supplement student financing, especially for research-focused programs. Students are encouraged to explore work options on or off-campus, including co-op placements, which can provide both income and relevant professional experience. Carleton University also offers emergency bursaries and financial planning services to help students navigate unexpected expenses. The university emphasizes a holistic approach to student financing, combining scholarships, government aid, employment opportunities, and personal finances to make higher education accessible. Financial literacy workshops and advisories are available to assist students in managing their funds effectively throughout their academic journey. Overall, the university strives to provide ample resources to reduce financial barriers and support student success in the Computer Science and Mathematics (Statistics and Computing) programs.

The Bachelor of Science in Computer Science and Mathematics (Statistics and Computing) at Carleton University is an interdisciplinary program designed to equip students with foundational knowledge and practical skills in both computer science and mathematics, with a specialization in statistics and computing. The program aims to prepare students for diverse careers in technology, data analysis, software development, and research by emphasizing a strong theoretical background combined with applied technical training. Students will engage with core courses in programming, algorithms, data structures, software engineering, and mathematical reasoning, alongside specialized courses in statistical methods, data analysis, machine learning, data visualization, and computational statistics. The curriculum is structured to foster problem-solving skills, critical thinking, and quantitative analysis capabilities, ensuring graduates can perform complex data analysis, develop robust software solutions, and contribute to advancements in fields such as data science, artificial intelligence, and information technology.

Throughout the program, students have opportunities for hands-on experience through projects, internships, and co-op placements, which are integral parts of the curriculum designed to bridge academic learning with industry standards and practices. The program also promotes interdisciplinary collaboration, encouraging students to work on research projects and case studies that combine computer science, mathematics, and statistics. Additionally, students benefit from access to Carleton University’s state-of-the-art computing facilities and resources, which support their academic and research activities.

Graduates of this program are prepared for further study in graduate or professional programs or for immediate employment in industries such as finance, healthcare, government, technology firms, or academia. They possess a versatile skill set applicable to roles such as data analyst, software developer, data scientist, systems analyst, or research scientist. The program’s emphasis on both theoretical foundations and applied skills ensures graduates are well-equipped to navigate the rapidly evolving technological landscape and contribute meaningfully to scientific and technological advancements. The curriculum is regularly updated to reflect current trends, technological advancements, and industry needs, ensuring that students receive a contemporary and comprehensive education that will serve as a solid foundation for their careers.