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Part Time Computer Science Training Jobs in Boston, MA

NorthEastern

Part-Time Lecturer MGEN (Boston)

Boston, MA · On-site

$2.6K/wk

Their knowledge at the three-way intersection of computer science, engineering, and ethics enables them to have real-world societal impact in high-demand fields across industries. Qualifications: M.S ...

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Part Time Computer Science Training information

What are some common challenges faced by part-time computer science trainers, and how can they be addressed?

Part-time computer science trainers often encounter challenges such as managing diverse student backgrounds, keeping up with rapidly changing technology, and balancing multiple responsibilities across different commitments. To address these, trainers can develop adaptable lesson plans, leverage online resources for up-to-date materials, and use collaborative tools to stay organized. Additionally, fostering open communication with students and other faculty members can help create a supportive learning environment and ensure a successful training experience.

What is part time computer science training?

Part time computer science training refers to educational programs or courses in computer science that are designed to be completed on a flexible schedule, typically requiring fewer hours per week than full-time programs. These courses are ideal for individuals who have other commitments, such as work or family, and want to gain or improve their computer science skills at their own pace. Training may cover topics like programming, data structures, algorithms, and software development. Part time training can be offered by universities, online platforms, or bootcamps, and may lead to certificates or preparation for further study. This approach allows learners to balance education with other responsibilities.

What are the key skills and qualifications needed to thrive as a Part-Time Computer Science Trainer, and why are they important?

To thrive as a Part-Time Computer Science Trainer, you need a solid understanding of core computer science concepts, programming languages, and instructional experience, typically backed by a relevant degree or professional certifications. Familiarity with learning management systems (LMS), code collaboration platforms, and educational tools like Zoom or Google Classroom is often required. Strong communication, patience, and adaptability help trainers effectively engage and support diverse learners. These skills are essential for delivering high-quality training, fostering student success, and keeping pace with evolving technology.

What is the difference between Part Time Computer Science Training vs Part Time Software Developer?

AspectPart Time Computer Science TrainingPart Time Software Developer
CredentialsTypically no formal credentials required; focus on foundational knowledgeOften requires programming skills, experience, or certifications
Work EnvironmentClassroom or online learning settingsRemote or on-site project-based work
Industry UsageUsed for skill development and educationUsed for actual software development projects
Search IntentLearning and training optionsJob opportunities and freelance work

Part Time Computer Science Training focuses on education and skill-building, often in classroom or online settings, without requiring prior experience. In contrast, Part Time Software Developer roles involve applying programming skills to develop software, typically requiring prior knowledge or certifications. While training prepares you for development work, the developer role involves actual project execution in a professional environment.

What are popular job titles related to Part Time Computer Science Training jobs in Boston, MA? For Part Time Computer Science Training jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Science Training jobs in Boston, MA look for? The top searched job categories for Part Time Computer Science Training jobs in Boston, MA are:
Part Time Computer Science Training jobs near you
Adjunct Instructor in Data Management, Integration, and Applied Analytics

Adjunct Instructor in Data Management, Integration, and Applied Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Posted 25 days ago

Job description

Brandeis University's Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.
This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Master's degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field
    • Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture
    • Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management
    • Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau)
    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field
    • 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership
    • Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist
    • Experience with enterprise data governance frameworks and data quality management practices
    • Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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