5 Entry-level Jobs You Can Get with a Computer Science Degree [VIDEO]

Written by Coursera Staff • Updated on

Are you studying computer science or considering it as a major? Watch this video and learn about five entry-level jobs in the computer science field.


[Video thumbnail] Computer Science Jobs

Are you studying computer science or considering it as a major? In this video, we break down five exciting entry-level jobs you can pursue with your computer science degree and how to prepare for them!

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Microsoft

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Microsoft Cybersecurity Analyst

Launch your career as a cybersecurity analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Microsoft. No prior experience required.

4.7

(2,070 ratings)

109,458 already enrolled

Beginner level

Average time: 6 month(s)

Learn at your own pace

Skills you'll build:

Computer Security Incident Management, Cloud Computing, Cybersecurity, Active Directory, Cloud Security, Authentications, Cyber Threat Intelligence, Azure Active Directory, Cyber Security Strategy, Security Management, Vulnerability Management, Cryptography, Compliance Management, Network Security, Penetration Testing, Generative AI, MITRE ATT&CK Framework, Threat Management, Threat Modeling, Records Management, Disaster Recovery, General Data Protection Regulation (GDPR), Data Management, Data Security, Data Governance, Information Privacy, Threat Detection, Law, Regulation, and Compliance, Security Strategy, Information Assurance, Cloud Computing Architecture, Regulatory Requirements, Business Continuity Planning, Security Controls, Cyber Security Policies, Virtualization, Microsoft Azure, Firewall, Computer Networking, Virtual Machines, General Networking, Cloud Services, Network Monitoring, Network Architecture, Network Protocols, Digital Transformation, Security Information and Event Management (SIEM), Distributed Denial-Of-Service (DDoS) Attacks, Identity and Access Management, Cyber Attacks, Endpoint Security, Malware Protection, Event Management, Multi-Factor Authentication, System Monitoring, Regulatory Compliance, Role-Based Access Control (RBAC), Internet Of Things, Application Security, Asset Management, Infrastructure Security, Vulnerability Assessments, Encryption, Information Systems Security, Data Storage, Operating Systems, Business Software, Servers, Computer Hardware, Computer Security Awareness Training, Data Ethics, Enterprise Security, Computer Architecture, Artificial Intelligence, Cloud Storage, Computer Systems, Information Systems, Information Technology, Intrusion Detection and Prevention, Cyber Security Assessment, Incident Response, Virtual Private Networks (VPN), Security Testing, System Testing, User Provisioning, Single Sign-On (SSO), User Accounts, Authorization (Computing), Software As A Service, Cloud Management

IBM

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IBM Data Science

Prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

4.6

(80,709 ratings)

765,344 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Unsupervised Learning, SQL, Supervised Learning, Data Visualization, Plotly, Data Mining, Relational Databases, Seaborn, Data Visualization Software, Matplotlib, Exploratory Data Analysis, Dashboard, Predictive Modeling, Generative AI, Data Science, Data Wrangling, Professional Networking, Jupyter, Feature Engineering, Data Literacy, Natural Language Processing, Data Processing, Large Language Modeling, Data Cleansing, Data Analysis, Prompt Engineering, Data Transformation, Deep Learning, R Programming, GitHub, Machine Learning, Git (Version Control System), Data Analysis Software, Open Source Technology, Cloud API, Query Languages, IBM Cloud, Statistical Programming, Python Programming, Data Management, Collaborative Software, Application Programming Interface (API), Computer Programming Tools, Pandas (Python Package), Data Manipulation, Databases, Stored Procedure, Database Management, Transaction Processing, Database Design, Regression Analysis, Descriptive Statistics, Correlation Analysis, Data Import/Export, Visualization (Computer Graphics), Predictive Analytics, Machine Learning Methods, Statistical Modeling, Statistical Analysis, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Data Validation, Applied Machine Learning, Classification And Regression Tree (CART), Performance Tuning, Interviewing Skills, Applicant Tracking Systems, Portfolio Management, LinkedIn, Relationship Building, Rapport Building, Company, Product, and Service Knowledge, Presentations, Recruitment, Market Research, Business Research, Communication, Big Data, Artificial Intelligence, Analytics, Data Storage, Data-Driven Decision-Making, Interactive Data Visualization, Histogram, Scatter Plots, Geospatial Mapping, Spatial Data Analysis, Geospatial Information and Technology, Statistical Visualization, Object Oriented Programming (OOP), Data Structures, NumPy, Web Scraping, Programming Principles, Computer Programming, Data Collection, Data Capture, Statistical Reporting, Data Presentation, Business Analysis, Data Quality, Data Modeling, User Feedback, Constructive Feedback, Application Deployment, Stakeholder Engagement, Decision Tree Learning, Business Process

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