Explore Intelligent Systems Designer Schools (2024)

Looking to start your journey as an Intelligent Systems Designer? Finding the right education is key. Here's a curated list of schools offering quality Intelligent Systems Designer programs:

  • We've identified top institutions known for excellent Intelligent Systems Designer education.
  • Options include both local schools and nationally recognized programs.
  • Each listing highlights relevant degree programs for aspiring Intelligent Systems Designer professionals.
  • You'll also find information on related career paths in the field.

Browse through these options to find a program that aligns with your career goals in the Intelligent Systems Designer industry.

Top Intelligent Systems Designer Schools (2024)

View our ranking methodology here
#1Prince George's County

University of Maryland-College Park

College Park, MD

In-State Tuition:$9,695
Out-of-State Tuition:$37,931
Admission Rate:45%
Graduation Rate:89%
Total Enrollment:40,792
#2Los Angeles County

University of Southern California

Los Angeles, CA

In-State Tuition:$63,468
Out-of-State Tuition:$63,468
Admission Rate:12%
Graduation Rate:92%
Total Enrollment:48,945
#3Champaign County

University of Illinois Urbana-Champaign

Champaign, IL

In-State Tuition:$14,542
Out-of-State Tuition:$35,122
Admission Rate:45%
Graduation Rate:85%
Total Enrollment:56,916
#4Benton County

Oregon State University

Corvallis, OR

In-State Tuition:$10,425
Out-of-State Tuition:$31,200
Admission Rate:83%
Graduation Rate:70%
Total Enrollment:34,292
#5Orange County

University of California-Irvine

Irvine, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:21%
Graduation Rate:87%
Total Enrollment:35,937
#6Maricopa County

Arizona State University Campus Immersion

Tempe, AZ

In-State Tuition:$10,978
Out-of-State Tuition:$29,952
Admission Rate:90%
Graduation Rate:67%
Total Enrollment:80,065

Intelligent Systems Designer Required Education (2024)

  • Minimum Education:

    • A bachelor's degree in a relevant field is typically the minimum requirement for becoming an Intelligent Systems Designer. Suitable degrees include:
      • Computer Science
      • Electrical Engineering
      • Information Technology
      • Robotics
      • Artificial Intelligence

  • Advanced Education:

    • Pursuing a master's degree can enhance your expertise and employment prospects. Consider advanced degrees such as:

      • Master’s in Artificial Intelligence
      • Master’s in Computer Engineering
      • Master’s in Human-Computer Interaction
      • Master’s in Data Science or Analytics

    • A doctoral degree may be beneficial for those looking to conduct research or teach at the university level. Relevant doctoral programs include:

      • Ph.D. in Robotics
      • Ph.D. in Artificial Intelligence
      • Ph.D. in Computer Science with a focus on intelligent systems

    • Advanced education often allows you to specialize in areas such as machine learning, natural language processing, or cognitive systems, further enhancing your qualifications in the design of intelligent systems.

Intelligent Systems Designer Professional Certifications & Licenses (2024)

To advance your career as an Intelligent Systems Designer, obtaining relevant professional certifications and licenses can significantly enhance your qualifications and job prospects. Here are the key certifications and licenses typically sought in this field:

  • Certified Automation Professional (CAP)
    Offered by the International Society of Automation (ISA), this certification demonstrates your expertise in the automation industry and your ability to manage various automation systems effectively.

  • Project Management Professional (PMP)
    Administered by the Project Management Institute (PMI), this globally recognized certification indicates your proficiency in managing projects and teams, which is essential for overseeing intelligent systems design projects.

  • Certified Information Systems Security Professional (CISSP)
    Provided by (ISC)², this certification is valuable if your work involves the design of intelligent systems that incorporate data security measures, ensuring that you have the knowledge to safeguard sensitive information.

  • AWS Certified Solutions Architect
    Offered by Amazon Web Services, this certification is beneficial if your intelligent systems designs include cloud-based solutions. It validates your ability to design and deploy scalable, secure applications on the AWS platform.

  • Certified IoT Professional (CIoTP)
    Credentialed by the IoT Institute, this certification focuses on the Internet of Things and ensures you have the skills to design and implement connected systems, which is increasingly important in intelligent system design.

  • Machine Learning Certification
    Several institutions, including Coursera, edX, and specialized tech companies, offer machine learning certifications that equip you with deep knowledge in algorithms and foundational AI concepts, essential for intelligent systems development.

  • Data Science Certification
    Obtaining a certification in data science can be advantageous, as it provides you with the skills needed to analyze large datasets, a critical aspect of designing intelligent systems.

  • Six Sigma Certification
    While not specific to intelligent systems, a Six Sigma certification can demonstrate your ability to improve processes and reduce errors, enhancing the efficiency of system designs.

  • State Engineering Licensure (if applicable)
    For those who focus on the engineering aspect of intelligent systems, a Professional Engineer (PE) license may be required in some states, particularly if you plan on signing off on engineering documents.

These certifications and licenses represent a commitment to your professional development and can help position you competitively in the field of Intelligent Systems Design.

Job Duties for Intelligent Systems Designers

  • Create mechanical design documents for parts, assemblies, or finished products.

  • Design advanced precision equipment for accurate or controlled applications.

  • Design engineering systems for the automation of industrial tasks.

Technologies and Skills Used by Intelligent Systems Designers

Analytical or scientific software

  • Finite element method FEM software
  • Vector CANalyzer

Development environment software

  • C
  • Microsoft Visual Basic

Presentation software

  • Microsoft PowerPoint

Basic Skills

  • Reading work related information
  • Thinking about the pros and cons of different ways to solve a problem

People and Technology Systems

  • Measuring how well a system is working and how to improve it
  • Thinking about the pros and cons of different options and picking the best one

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Intelligent Systems Designer Internships, Apprenticeships & Practical Training

Gaining practical experience is essential for an aspiring Intelligent Systems Designer. Internships and apprenticeships provide you with the opportunity to apply theoretical knowledge, develop skills, and build a professional network. Here are some examples of what to look for in these programs:

Internships

  • Technology Companies: Many tech firms, such as Google, Microsoft, and IBM, offer summer internships focusing on intelligent systems design. These internships might involve working on projects that utilize machine learning algorithms, natural language processing, or computer vision.

  • Research Institutions: Organizations like MIT, Stanford, and various national laboratories often look for interns to assist in cutting-edge research. Interns might work on projects developing new intelligent systems or experimental prototypes.

  • Startups: Smaller companies in the tech space often seek interns who can contribute to various aspects of intelligent systems design. Startups may provide more hands-on experience and a chance to work closely with innovative technologies in a fast-paced environment.

  • Non-Profit Organizations: Some non-profits focus on using intelligent systems for social impact. Interning with these organizations can provide unique insights into applying technology for humanitarian purposes.

Apprenticeships

  • Tech Bootcamps: Many coding bootcamps offer apprenticeship programs where participants can learn from experienced professionals in the field of intelligent systems. These bootcamps may include hands-on projects, mentorship, and real-world applications of design principles.

  • Industry Partnerships: Some companies engage in apprenticeship programs designed for individuals new to the industry. These programs may include rotations through various departments, allowing you to gain a broad understanding of how intelligent systems are integrated into products.

  • Government Programs: Certain government-affiliated programs offer apprenticeships that focus on technological advancement and public sector needs. Working on projects that enhance public services through intelligent systems can be both rewarding and educational.

Practical Training Opportunities

  • Hackathons: Participating in hackathons can provide practical experience in rapid prototyping and collaboration. These events often challenge you to develop innovative solutions using intelligent systems within a limited timeframe.

  • Collaborative Projects: Look for opportunities in university labs where professors and students collaborate on intelligent systems projects. These projects may involve real-world applications, data analysis, and system design.

  • Professional Networking Events: Attending industry conferences and meetups can sometimes lead to informal mentorship or project participation. Networking is vital in finding practical training opportunities that are not widely advertised.

By pursuing internships, apprenticeships, and various practical training experiences, you will enhance your skill set and better prepare yourself for a successful career as an Intelligent Systems Designer.

Intelligent Systems Designer Continuing Education & Professional Development (2024)

To advance your career as an Intelligent Systems Designer, engage in various continuing education and professional development opportunities tailored to enhance your skills and knowledge. Consider the following avenues:

  • Advanced Degrees:

    • Pursue a Master’s or Ph.D. in fields such as artificial intelligence, machine learning, data science, robotics, or human-computer interaction. Higher degrees often open opportunities for research roles and leadership positions.

  • Certifications:

    • Obtain relevant certifications from recognized organizations or online platforms. Popular certifications include:
      • Certified Artificial Intelligence Engineer
      • Machine Learning Certification (offered by platforms like Coursera, edX, or Udacity)
      • Professional Certificate in AI and Machine Learning from industry-leading institutions

  • Workshops and Seminars:

    • Attend industry workshops, hackathons, and boot camps that focus on practical applications of intelligent system design. These experiences often provide hands-on learning and networking opportunities.

  • Online Courses:

    • Enroll in online courses that cover specific tools, programming languages (like Python or R), or emerging technologies (such as neural networks or natural language processing). Platforms like Coursera or Udacity offer specialized courses in these areas.

  • Conferences and Networking Events:

    • Participate in conferences dedicated to AI, robotics, and intelligent systems. Engaging in these events helps you stay current on industry trends and meet professionals with similar interests.

  • Professional Associations:

    • Join professional organizations such as the Association for the Advancement of Artificial Intelligence (AAAI) or the IEEE Computational Intelligence Society. Membership can provide access to resources, journals, and exclusive networking events.

  • Research Opportunities:

    • Get involved in research projects either through your current employer or academic institutions. Collaborating on innovative projects can lead to publications, which also enhance your professional reputation.

  • Mentorship:

    • Seek mentorship from experienced professionals in your field. A mentor can provide guidance, feedback, and insights into navigating your career path effectively.

  • Soft Skills Development:

    • Focus on developing soft skills such as communication, teamwork, and problem-solving through workshops and group projects. These skills are essential when collaborating on intelligent systems with interdisciplinary teams.

Engaging in these educational and professional development opportunities will equip you with the necessary tools and insights to excel as an Intelligent Systems Designer and adapt to the rapidly evolving technology landscape.

What To Look For When Deciding On Campus vs Online Degree Programs for Intelligent Systems Designers (2024)

As you consider your path to becoming an Intelligent Systems Designer, evaluating online and campus-based education options is important. Both formats offer unique advantages and may suit different learning styles, schedules, and career goals.

Online Education Programs

  • Flexibility: Online programs allow you to learn at your own pace and schedule. This flexibility is ideal if you are balancing work, family, or other commitments.

  • Accessibility: You can access courses from anywhere, as long as you have a reliable internet connection. This eliminates the need for commuting and may provide access to programs not available in your local area.

  • Diverse Course Offerings: Many online platforms provide a wide variety of courses, including specialized topics in intelligent systems, machine learning, and artificial intelligence.

  • Networking Opportunities: While networking may seem limited in an online setting, many programs facilitate virtual networking through forums, webinars, and social media groups.

  • Self-Discipline Required: Online education often requires strong time-management skills and self-motivation, as you will be responsible for adhering to deadlines and completing coursework independently.

Campus-Based Education Programs

  • Structured Environment: Attending classes in person provides a structured learning environment, which can enhance focus and discipline for some students.

  • Immediate Interaction: In-person classes allow for immediate feedback and interaction with instructors and peers. This can be beneficial for discussing complex topics and collaborating on projects.

  • Hands-On Experiences: Many campus programs include labs, workshops, and hands-on training that are essential for practical skill development in intelligent systems design.

  • Networking: Being on campus fosters connections with faculty, industry professionals, and fellow students, which can be valuable for mentorship and job opportunities post-graduation.

  • Campus Resources: You will have access to physical campus resources, such as libraries, research facilities, and academic support services that can enhance your learning experience.

Choosing the Right Path

When deciding between online and campus-based education programs, consider your personal learning preferences, lifestyle, and career goals. Assess factors such as:

  • Your current work commitments and availability.
  • The learning style that suits you best: self-directed or structured learning.
  • The importance of networking and hands-on experiences for your career aspirations.

Ultimately, both online and campus-based programs can provide a strong educational foundation in intelligent systems design, so it's essential to choose the option that aligns best with your individual circumstances and goals.

Intelligent Systems Designer Typical Career Path (2024)

As an Intelligent Systems Designer, your career path can evolve through various roles that build upon your skills and experiences in the field. Here’s a breakdown of typical positions you may encounter along the way:

Entry-Level Positions:

  • Junior Intelligent Systems Designer

    • In this role, you will assist senior designers in developing intelligent systems. Typical tasks include basic coding, data analysis, and documentation.
    • Exposure to various tools and technologies used in system design, such as machine learning algorithms and programming languages like Python or Java, is common.

  • Systems Analyst

    • You will analyze user needs and create system requirements. This position often requires you to interact with clients to determine specifications and gather feedback on system functionality.
    • Collaboration with development teams to ensure user requirements are met is a key responsibility.

  • Data Analyst

    • As a data analyst, your focus will be on collecting, analyzing, and interpreting data to inform the design of intelligent systems.
    • You may use statistical tools and visualization techniques to help drive decision-making processes.

Mid-Level Positions:

  • Intelligent Systems Designer

    • After gaining experience, you will transition into a designer role, where you lead projects and make creative decisions on system architecture and functionality.
    • Strong project management skills and the ability to work with cross-functional teams become critical in this stage.

  • Machine Learning Engineer

    • This role involves designing and implementing machine learning algorithms that can improve the performance of intelligent systems.
    • You will be responsible for model training, evaluation, and deployment, requiring a solid understanding of data science principles and practices.

  • User Experience (UX) Designer

    • Focusing on the interaction between users and intelligent systems, you will conduct usability testing and design user interfaces that enhance the user experience.
    • Collaboration with developers to ensure that design specifications are executed effectively is essential.

Advanced Roles:

  • Senior Intelligent Systems Designer

    • In this advanced position, you will take on more complex projects and lead design initiatives, mentoring junior team members along the way.
    • Strategic planning and integration of emerging technologies into system design are key focus areas.

  • Technical Architect

    • As a technical architect, you will define the overall technical strategy and structure of intelligent systems, ensuring they meet performance and scalability requirements.
    • You will coordinate with various teams to integrate different system components seamlessly.

  • Director of Intelligent Systems

    • In this executive role, your responsibilities expand to overseeing the entire intelligent systems design department, guiding strategic direction, and aligning projects with organizational goals.
    • Leadership, budget management, and stakeholder communication become critical components of your job.

Transitioning through these career stages allows you to gain specialized knowledge and expertise, positioning you for success in the evolving landscape of intelligent systems design.

Related Fields and Alternative Career Paths to Intelligent Systems Designers (2024)

As an Intelligent Systems Designer, you gain a unique blend of skills that can open doors to various related fields and alternative career paths. Your background in system design, machine learning, artificial intelligence, and user-centered design positions you well for roles in several domains.

  • Machine Learning Engineer

    • Similar Educational Background: A degree in computer science, data science, or engineering with a focus on algorithms and data structures.
    • Transferable Skills: Knowledge in developing algorithms, conducting data analysis, and applying statistical methods.

  • Data Scientist

    • Similar Educational Background: Educational programs that cover statistical analysis, data mining, and machine learning.
    • Transferable Skills: Proficiency in programming languages, data analysis techniques, and familiarity with databases.

  • User Experience (UX) Designer

    • Similar Educational Background: Degrees in design, psychology, or a field related to user-centered design.
    • Transferable Skills: Understanding user needs, designing interactive systems, and creating prototypes with a focus on user engagement.

  • Software Developer

    • Similar Educational Background: A degree in computer science or software engineering that emphasizes coding and software lifecycle management.
    • Transferable Skills: Strong programming capabilities, experience with software architecture, and debugging expertise.

  • Robotics Engineer

    • Similar Educational Background: Engineering degrees that involve mechanical, electrical, or software engineering principles.
    • Transferable Skills: Systems design knowledge, programming skills, and experience with sensing technologies and automation.

  • Systems Analyst

    • Similar Educational Background: Studies in systems engineering, information systems, or computer science.
    • Transferable Skills: Ability to analyze system requirements, design specifications, and project management.

  • Artificial Intelligence Researcher

    • Similar Educational Background: Advanced degrees focusing on AI and research methodologies.
    • Transferable Skills: Knowledge of AI algorithms, research skills, and the ability to develop new models or frameworks.

  • Big Data Engineer

    • Similar Educational Background: A background in computer science or a related field focusing on data architecture and management.
    • Transferable Skills: Experience with data processing, programming languages for big data frameworks, and cloud computing principles.

Educational paths in Intelligent Systems Design typically incorporate foundational knowledge in computer science, mathematics, and engineering, making it feasible to pivot to these related fields. By emphasizing your technical skills and project experiences in your applications, you can transition smoothly into another career while capitalizing on your training and expertise.

Intelligent Systems Designer Frequently Asked Questions (FAQs) (2024)

  • What degree do I need to become an Intelligent Systems Designer?
    A bachelor's degree in computer science, engineering, or a related field is typically required. Advanced positions may require a master's degree or higher.

  • Are there specific courses I should take during my degree?
    Yes, focus on courses in artificial intelligence, machine learning, data analysis, systems design, and programming languages such as Python, Java, or C++.

  • Is certification necessary for this career?
    While not mandatory, obtaining certifications relevant to artificial intelligence or systems design can enhance your skills and improve job prospects. Certifications from organizations like IEEE or CompTIA can be beneficial.

  • Do I need work experience before becoming an Intelligent Systems Designer?
    Practical experience is important. Internships or entry-level roles in related fields can provide valuable hands-on experience that is often required by employers.

  • What skills are essential for this career?
    Strong analytical skills, problem-solving abilities, and proficiency in programming languages are vital. Additionally, familiarity with algorithms, data structures, and machine learning concepts are important.

  • Can I transition from another career to Intelligent Systems Design?
    Yes, many professionals transition from areas such as software development, data science, or engineering. Additional training or education may be necessary to build specific skills in intelligent systems.

  • Are there online programs available for this field?
    Yes, many accredited institutions offer online degrees and certifications. Ensure that the program you choose is recognized and offers the relevant coursework needed for the career.

  • What are the job prospects like for Intelligent Systems Designers?
    Job prospects are strong, with demand growing in industries like technology, healthcare, finance, and automotive. The need for expertise in AI and intelligent system design is expected to increase.

  • What are the advancement opportunities in this field?
    With experience, you may advance to senior designer roles, project management, or specialized positions in research and development. Pursuing higher education can further enhance your career trajectory.

  • How important is networking in this profession?
    Networking is very important. Building connections through industry groups, conferences, and online platforms like LinkedIn can provide job leads and collaborations with other professionals in the field.

Additional Resources for Intelligent Systems Designers (2024)

  • IEEE (Institute of Electrical and Electronics Engineers)

    • Website: ieee.org
    • Description: This professional organization provides access to journals, conferences, and standards in the fields of electrical and electronics engineering, which are essential for understanding intelligent systems.

  • ACM (Association for Computing Machinery)

    • Website: acm.org
    • Description: The ACM offers resources including publications, conferences, and professional development opportunities that are valuable for staying updated in computing and intelligent systems.

  • Coursera

    • Website: coursera.org
    • Description: This online learning platform offers courses from universities and companies on artificial intelligence, machine learning, and system design, which are essential for an Intelligent Systems Designer.

  • edX

    • Website: edx.org
    • Description: edX provides access to high-quality courses from institutions like MIT and Harvard on subjects including robotics, AI, and data analysis, which are beneficial for designing intelligent systems.

  • Kaggle

    • Website: kaggle.com
    • Description: Kaggle is a platform for data science competitions and datasets, allowing you to practice and enhance your skills in machine learning and data analysis.

  • SAM (Society for the Advancement of Material and Process Engineering)

    • Website: sampe.org
    • Description: This network focuses on the engineering and application of materials and processes, which can be relevant in designing intelligent systems using innovative materials.

  • Turing Award Winners

    • Website: acm.org/turing-award
    • Description: Learn about the work and contributions of leading figures in computer science that can inspire your own designs in intelligent systems.

  • Google AI

    • Website: ai.google
    • Description: Access research, tools, and educational resources focused on artificial intelligence development.

  • MIT OpenCourseWare

    • Website: ocw.mit.edu
    • Description: This platform offers a vast array of free course materials from MIT, including topics on AI, robotics, and intelligent systems design.

  • NIST (National Institute of Standards and Technology)

    • Website: nist.gov
    • Description: NIST provides guidelines and standards that can help you in the development and certification of various intelligent systems.

  • Machine Learning Mastery

    • Website: machinelearningmastery.com
    • Description: This blog and resource site offers tutorials, guides, and insights into machine learning, which is a core component of intelligent systems.

  • LinkedIn Learning

    • Website: linkedin.com/learning
    • Description: LinkedIn Learning features courses on design thinking, artificial intelligence, and system architecture, important for enhancing your skill set as an Intelligent Systems Designer.

Utilizing these resources and tools will enhance your knowledge and skills as you work towards a career as an Intelligent Systems Designer.