MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
MS in Computer Science
Boston
INTAKE: Jan & Sept
Program Overview
The MS in Computer Science program at Northeastern University offers an advanced education in the rapidly evolving field of computer science, emphasizing a deep understanding of software development, algorithm design, machine learning, data science, artificial intelligence, and systems programming. Students gain expertise in critical areas of computer science, with opportunities for hands-on learning through research projects and industry partnerships. The program is designed to prepare graduates for high-demand careers in software development, data analytics, cybersecurity, and more, with a focus on practical experience and innovation.
Curriculum: The MS in Computer Science curriculum at Northeastern University provides a comprehensive foundation in computer science principles, offering courses in core subjects such as algorithms, data structures, artificial intelligence, machine learning, and computer networks. The program also allows students to specialize in specific tracks such as cybersecurity, data science, software engineering, and systems programming, offering a blend of theory and practical application. Students can choose from a wide range of electives to tailor their education to their specific career goals. The program’s interdisciplinary approach ensures graduates are equipped to address the diverse challenges of the tech industry.
Research Focus: Research in the MS in Computer Science program at Northeastern University spans several cutting-edge areas, including machine learning, artificial intelligence, cybersecurity, big data, human-computer interaction, and computational biology. Students have the opportunity to engage in innovative research projects alongside faculty, working on solving real-world problems in collaboration with industry partners and through research centers such as the Institute for Experiential Robotics. The program encourages an interdisciplinary approach to research, allowing students to contribute to advancements in both the academic and applied fields of computer science.
Industry Engagement: Northeastern University emphasizes experiential learning, offering students the unique opportunity to participate in co-op programs with top-tier companies in the tech industry, including Google, Microsoft, Amazon, and local startups. These industry partnerships provide invaluable real-world experience and networking opportunities, ensuring that students graduate with both theoretical knowledge and practical skills. Co-op placements allow students to work on challenging projects in software development, cybersecurity, data analysis, and more, which are integral to their future career success.
Global Perspective: Northeastern University’s MS in Computer Science program has a global outlook, offering students opportunities to collaborate on international research projects and participate in global internships. The program’s diverse student body, with participants from all over the world, creates a dynamic environment where students can learn from different cultural perspectives and work on global challenges. Additionally, the university's extensive global network helps students connect with peers and professionals internationally, offering opportunities for cross-cultural collaboration and exposure to global tech innovations.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 27600
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Northeastern University in Boston offers a range of scholarship opportunities for international students to help alleviate the financial burden of studying in the United States. These scholarships are designed to support academically talented students from around the world, promoting diversity and fostering an inclusive campus environment.
Merit-Based Scholarships: Northeastern University provides merit-based scholarships to international students based on academic excellence and achievements. These scholarships are awarded during the admissions process and are highly competitive. The amount and criteria for these scholarships may vary, but they aim to recognize students who demonstrate exceptional academic performance, leadership potential, and a strong their chosen field of study.
Northeastern International Scholars Program: This prestigious program offers scholarships to outstanding international students who exhibit leadership, academic excellence, and a desire to contribute to the global community. The Northeastern International Scholars Program provides both financial support and opportunities for personal growth through networking events, leadership training, and involvement in community service initiatives.
Need-Based Financial Aid: Although Northeastern University does not offer need-based financial aid to international students, there are still many merit-based scholarships available that can significantly reduce tuition costs. However, international students are encouraged to seek external scholarships or funding from their home country to help cover the remaining costs.
External Scholarships and Funding: In addition to institutional scholarships, international students at Northeastern University can explore a variety of external scholarship opportunities from governments, foundations, and organizations in their home countries. Many international students receive funding from these sources to support their education at Northeastern.
Graduates of the MS in Computer Science program from Northeastern University are well-equipped to pursue diverse and high-demand careers across various sectors of the tech industry.
Software Developer: Creating and maintaining software applications, software developers work in fields such as mobile app development, enterprise software, and game development, leveraging programming skills and algorithm design.
Data Scientist: Data scientists analyze complex datasets to uncover insights, predict trends, and solve business problems. They often use machine learning, statistical analysis, and programming techniques to work with big data in industries ranging from healthcare to finance.
Cybersecurity Analyst: Cybersecurity experts are responsible for protecting systems and networks from security breaches. They design, implement, and monitor security measures to ensure the integrity, confidentiality, and availability of data within organizations.
Artificial Intelligence (AI) Engineer: AI engineers focus on creating algorithms and models that enable machines to learn from data. They develop AI-powered systems such as chatbots, autonomous vehicles, and predictive analytics tools, driving innovation in sectors like healthcare, automotive, and finance.
Machine Learning Engineer: These professionals specialize in creating machine learning models and algorithms that allow computers to learn from data and make predictions. Their expertise is used in various industries, including e-commerce, finance, and technology.
Systems Architect: Systems architects design and manage large-scale IT systems that meet the technological needs of an organization. They focus on the integration of different software and hardware components to ensure seamless system functionality.
Cloud Solutions Architect: Cloud architects specialize in designing scalable and efficient cloud-based infrastructures for companies. They are responsible for managing cloud systems that support business operations, data storage, and services in the cloud.
Product Manager (Tech): Product managers in tech oversee the development and launch of technology products. They work closely with software engineers, marketing teams, and stakeholders to ensure the product meets business and customer needs while staying within budget and timeline.
DevOps Engineer: DevOps engineers focus on improving the software development lifecycle by automating processes, managing infrastructure, and ensuring continuous integration and delivery. They play a critical role in increasing the efficiency of development teams.
Blockchain Developer: Blockchain developers specialize in designing and developing distributed ledger technologies, including cryptocurrencies and smart contracts. They work in industries such as finance, supply chain, and healthcare, where blockchain technology is increasingly being adopted.
Database Administrator (DBA): DBAs are responsible for managing and maintaining databases that store essential business information. They ensure data is accessible, secure, and efficiently stored, while also optimizing database performance.
Research Scientist in Computer Science: Research scientists conduct pioneering research in fields like artificial intelligence, computer vision, and quantum computing. They may work in academic institutions, research labs, or tech companies, developing cutting-edge technologies and solving complex computational problems.
