Technology, Data & Cybersecurity

The Digital Technology Career Community focuses on developing digital systems for communication and data storage using critical technologies such as artificial intelligence (AI), data analytics, and cybersecurity. This Community builds skills necessary for all careers to navigate and lead in the constantly evolving tech landscape and drives innovation across all industries to tackle complex challenges and opportunities in communities and economies/

Explore the concentrations below to see the technical skills, programming pathways, and career opportunities available through Northeastern’s technology programs. When you’re ready to build your professional profile, resources including Big Interview, Jobscan, our Interview Type: Technical guide, LinkedIn Learning, and Forage are available through the Build Career Skills section of this site.

The Master of Professional Studies in Applied AI, offered by the College of Professional Studies, is built for professionals from any academic or industry background who want to build and put artificial intelligence and machine learning to work. Coursework runs from conversational AI to machine learning for cybersecurity to 3D imaging, with a steady emphasis on collaboration, interdisciplinary work, and ethics. Concentrations, electives, and real-world projects give students the computer science and problem-solving skills to lead AI adoption in their own workplace and to think carefully about where the technology is headed. Students without a background in engineering, computer science, or statistics can start with the Applied AI Connect option, which adds foundational coursework. 


Skills & Competencies


  • Machine Learning Model Development and Deployment 
  • Conversational AI and Natural Language Processing 
  • Applied Ethics and Responsible AI 
  • Python Programming and Data Analysis 
  • AI for Cybersecurity and Imaging

Example Job Titles


  • AI/Machine Learning Specialist 
  • Applied AI Product Manager 
  • Business Intelligence and AI Analyst 
  • Automation and Conversational AI Developer 
  • AI Strategy and Governance Lead 


Employers in this space look for people who can turn machine learning into practical, responsible solutions. Prepare for technical rounds with our Interview Type: Technical guide, use Jobscan to match your resume to AI and machine learning job descriptions, and pick up related data analysis and visualization skills through LinkedIn Learning. 

Resources:  Interview Type: Technical | Jobscan | LinkedIn Learning

For more information, visit the department website. 

Networks shape a surprising amount of daily life, from where we get our news to how goods move to how disease spreads. The Master of Science in Complex Network Analysis, offered through Northeastern’s Network Science Institute with Khoury College of Computer Sciences, is the quantitative study of those connected systems. Students start with a solid grounding in network methods, then apply them in an industry-aligned concentration such as economic and technological networks, population health dynamics, or social and urban systems. The methods draw on machine learning and data analytics, and graduates leave able to find and model patterns of connection in very large datasets for employers in the public, private, and research sectors. 


Skills & Competencies


  • Network Modeling and Graph Theory 
  • Data Mining and Machine Learning 
  • Statistical and Computational Analysis 
  • Data Visualization 
  • Domain Modeling (health, economic, or social systems) 

Example Job Titles


  • Network Scientist 
  • Data Scientist 
  • Computational Social Scientist 
  • Research Analyst 
  • Quantitative Modeler 


This work rewards strong quantitative modeling and the ability to explain what large, connected datasets actually mean. Prepare for technical and case interviews with our Interview Type: Technical guide, use Jobscan to match your resume to data science job descriptions, and build related analytics skills through LinkedIn Learning. 

Resources: Interview Type: Technical | Jobscan | LinkedIn Learning 

For more information, visit the department website

The BS in Computer Science focuses on the fundamentals of program design, software development, computer organization, systems and networks, theories of computation, principles of languages, and advanced algorithms and data.

The BA in Computer Science offers a similar curriculum, with slightly less CS requirements to allow students to study a foreign language and to have a wider choice of electives.

The program also provides a solid grounding in mathematics and science, as well as offering a wide variety of social science and humanities courses to complement the discipline. Our co-op program offers unprecedented opportunities to gain up to 18 months of hands-on experience in industry or academia, alternating between periods of academic study and paid employment in your desired field. Experiential learning is integrated into all of our degrees through the co-op program.


Skills & Competencies


  • Programming Languages (Python, Java, C++, JavaScript)
  • Data Structures, Algorithms & System Design
  • Cloud Platforms (AWS, Azure, Google Cloud)
  • Version Control & CI/CD Pipelines (Git, GitHub Actions)
  • Cybersecurity Fundamentals & Secure Coding Practices

Example Job Titles


  • Software Engineer / Software Developer
  • Backend / Full-Stack Engineer
  • Cybersecurity Analyst / Security Engineer
  • DevOps / Cloud Infrastructure Engineer
  • Machine Learning Engineer


Computer science careers reward systems thinking, algorithmic problem-solving, and the ability to build and maintain complex software at scale. Prepare for technical coding interviews with our Interview Type: Technical guide, use Jobscan to align your resume with software engineering job descriptions, and explore ACM and IEEE professional associations in our resources library.

You can also utilize the Library’s Computer Science guide for software, AI, gaming, and information security research, and more tools like ACM Digital Library for full-text CS journals and conference proceedings from 1985 to present, O’Reilly for Higher Education for books, videos, and learning paths from O’Reilly, Sams, and Peachpit, and IEEEXplore for IEEE journals, standards, and conferences.

Resources: Interview Type: Technical | Jobscan | Big Interview | Library Guides

For more information on the Computer Science concentration, please visit the department website.

Northeastern’s cybersecurity programs prepare students to protect digital systems, networks, and data from threats and attacks. Students learn to analyze vulnerabilities, design secure architectures, respond to incidents, and understand the legal and policy dimensions of cybersecurity. Programs combine technical depth in computer science with specialized training in cryptography, network security, digital forensics, and ethical hacking. Graduates are prepared for careers in government, finance, healthcare, technology, and defense, sectors where demand for skilled cybersecurity professionals continues to grow rapidly.


Skills & Competencies


  • Network and Systems Security
  • Cryptography and Secure Protocols
  • Digital Forensics and Incident Response
  • Vulnerability Assessment and Penetration Testing
  • Security Policy and Compliance

Example Job Titles


  • Cybersecurity Analyst
  • Information Security Engineer
  • Penetration Tester / Ethical Hacker
  • Digital Forensics Analyst
  • Security Operations Center (SOC) Analyst


Cybersecurity careers require systems thinking, threat analysis, secure coding practices, and the ability to communicate risk clearly to technical and non-technical stakeholders. Prepare for technical interviews with our Interview Type: Technical guide, use Jobscan to align your resume with cybersecurity job descriptions, and explore IEEE and ACM professional associations in our resources library.

You can also utilize the Library’s Computer Science guide for CS, information security, and gaming research, and more tools like ACM Digital Library for security and cryptography research, IEEEXplore for IEEE security and privacy journals and conferences, and O’Reilly for Higher Education for hands-on books and video courses on penetration testing, network security, and secure coding.

Resources: Interview Type: Technical | Jobscan | Big Interview | Library Guides

For more information, visit the department website.

The Bachelor of Science in Data Science studies the collection, manipulation, storage, retrieval, and computational analysis of data in its various forms. You’ll gain knowledge in exploratory data analysis and manipulation, large-scale data storage, predictive analytics, machine learning, data mining, and more. The program combines computer science, mathematics, statistics, and probability theory into an integrated curriculum that prepares you for careers or graduate studies in big data analysis, DS, and data analytics.

Data drives. You lead. Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever we need people who can understand this untapped resource and draw conclusions so vital to future success. We developed our Master’s in Data Science with that, and your current background, in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level.

If you don’t have a background in data science or computing, then the Align MS in Data Science might be for you. It offers a direct path to a master’s degree in data science, regardless of your background.

The Bachelor of Science in Analytics program prepares you for success in a wide variety of industries through the mastery of cutting-edge techniques, technologies, and modes of reasoning for analyzing, managing, and describing data.

The Master of Professional Studies in Analytics prepares you to analyze data and identify trends to support tactical and strategic decision making.


Skills & Competencies


  • Statistical Analysis & Modeling
  • Machine Learning Frameworks
  • SQL & Database Querying
  • Data Visualization (Tableau, Power BI, Matplotlib)
  • Statistical Modeling, A/B testing & Experimental Design

Example Job Titles


  • Data Scientist
  • Data Analyst
  • Machine Learning / AI Engineer
  • Business Intelligence (BI) Analyst
  • Quantitative Researcher / Quant Analyst


Data science careers combine statistical modeling, programming, and the ability to communicate findings clearly to both technical and non-technical audiences. Use Jobscan to align your resume with data science job descriptions, prepare for technical and case interviews with our Interview Type: Technical guide, and build complementary skills in data visualization and machine learning through LinkedIn Learning.

You can also utilize the Library’s Computer Science guide for data science, machine learning, and analytics research, and more tools like O’Reilly for Higher Education for books and videos on Python, R, SQL, and machine learning, ACM Digital Library for data science and AI research from leading conferences, and Statista for downloadable datasets across business, government, and consumer topics for practice and analysis.

Resources: Jobscan | Interview Type: Technical | LinkedIn Learning | Library Guides

For more information on the Data Science concentration, please visit the department website.

Electrical engineers design, develop, test and supervise the manufacturing of electrical and electronic equipment. Some of this equipment includes power generating, controlling, and transmission devices used by electric utilities and electric motors, machinery controls, lighting and wiring in buildings, automobiles, aircraft, radar and navigation systems, and broadcast and communications systems. 

Computer engineers are involved with digital technologies such as computer hardware and the development of more efficient circuitry on silicon computer chips. They research, design, develop, and test computer hardware and supervise its manufacturing and installation. Computer software engineers often work as part of a team that designs new hardware, software, and systems.  As a computer engineering student at Northeastern, you will study computer architecture, software engineering, computer-aided design (VLSI), microprocessor-based design, and applied algorithms.


Skills & Competencies


  • Circuit design & PCB layout
  • Programming languages
  • Signal processing & control systems
  • Microcontrollers & FPGA development
  • Network architecture & cybersecurity fundamentals

Example Job Titles


  • Electrical Engineer
  • Embedded Systems / Firmware Engineer
  • Software Engineer
  • Hardware Design Engineer
  • Cybersecurity / Network Engineer


Electrical and computer engineering careers span hardware design, embedded systems, network architecture, and cybersecurity. Prepare for technical interviews with our Interview Type: Technical guide, use Jobscan to tailor your resume to specific engineering roles, and explore IEEE and ACM professional associations in our resources library.

You can also utilize the Library’s Engineering guide for ECE-specific research and reference, and more tools like IEEEXplore for IEEE journals, conferences, and standards in electrical engineering, Compendex & INSPEC for combined engineering, physics, and computer science research, and ACM Digital Library for systems and computing scholarship.

Resources: Interview Type: Technical | Jobscan | Library Guides

For more information on the Electrical and Computer Engineering concentration, please visit the department website.

Northeastern’s mathematics programs provide rigorous training in pure and applied mathematics, statistics, and probability theory. Students develop strong analytical and quantitative reasoning skills with applications across data science, finance, engineering, economics, and computer science. Combined majors with computer science, data science, biology, psychology, and design allow students to connect mathematical expertise to virtually any field. Graduates pursue careers in data analytics, quantitative finance, actuarial science, and operations research, and many go on to graduate study in mathematics, statistics, or computer science.


Skills & Competencies


  • Mathematical Modeling and Proof
  • Statistical Analysis and Probability
  • Computational Methods and Algorithms
  • Data Analysis and Quantitative Reasoning
  • Applied Mathematics

Example Job Titles


  • Data Analyst / Statistician
  • Quantitative Analyst
  • Actuary
  • Operations Research Analyst
  • Graduate pathway: Research Mathematician / Statistician


Mathematics careers span data science, actuarial science, financial modeling, cryptography, research, and education across virtually every industry. Use Jobscan to align your resume with quantitative and analytical job descriptions, prepare for technical interviews with our Interview Type: Technical guide, and explore AMS and AWM professional associations in our resources library.

You can also utilize the Library’s Computer Science guide for mathematics, data science, and computing research, and more tools like MathSciNet for the American Mathematical Society’s database of mathematical literature, JSTOR for mathematics and statistics scholarship, and Web of Science for citation tracking and finding seminal mathematics research.

Resources: Jobscan | Interview Type: Technical | Library Guides

For more information, visit the department website.

Physics examines the fundamental principles that govern natural phenomena, ranging in scale from subatomic particles through the behavior of solids, liquids, and biomolecules, to exploding stars and colliding galaxies. At Northeastern, physics students develop rigorous analytical and quantitative skills with applications across engineering, data science, energy, aerospace, and research. Programs in applied physics, biomedical physics, and combined majors with computer science, mathematics, and engineering allow students to build deep expertise at the intersection of physics and other fields. Graduates pursue careers in research, industry, and technology, and many go on to graduate study in physics or related disciplines.

Skills & Competencies


  • Quantitative Analysis and Mathematical Modeling
  • Laboratory Research and Experimental Design
  • Computational Methods and Simulation
  • Data Analysis and Statistical Reasoning
  • Problem Solving Across Complex Systems

Example Job Titles


  • Research Scientist / Physicist
  • Data Scientist, Quantitative Research
  • Aerospace or Defense Engineer
  • Materials Scientist
  • Graduate pathway: Research Physicist / Engineerneer


Physics careers span research, engineering, defense, energy, and advanced manufacturing. Use Jobscan to align your resume with engineering and research job descriptions, practice communicating technical concepts and research experience with Big Interview, and explore the Interview Type: Technical guide to prepare for quantitative and problem-solving interview formats common in physics-adjacent roles.

You can also utilize the Library’s Science and Engineering guide for physics scholarship and research, and more tools like Web of Science for peer-reviewed physics and applied science literature, Compendex and INSPEC for an interdisciplinary engineering and physics research database, and SciFinder for chemical and physical sciences research across academic and industry sources.

Resources: Jobscan | Big Interview | Interview Type: Technical | Library Guides

For more information, visit the department website.

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