What to Learn After Software Engineering

If you are already familiar with software engineering principles and skills, consider learningdata science, machine learning, and project management concepts. Software engineering jobs often require some proficiency in data science, machine learning, and project management. Developers with this knowledge are also more likely to be paid more than peers without this experience. This guide will cover these concepts below so you understand what skills you can learn after completing software engineering courses. 

What is Software Engineering?

Software Engineering is an engineering branch focused on designing, developing, and testing new technologies to solve real-world problems. Software Engineers bring comprehensive knowledge of programming, design, and engineering principles to build software. These computer science professionals can create web applications, mobile applications, video games, robots, operating systems, and network systems that we use daily! 

Software engineering is a collaborative and broad field. The design and development of software solutions will require you to work with other technical and non-technical professionals. These can include engineers, developers, scientists, designers, and other creative and technical professionals. Additionally, Software Engineers can specialize in different areas of the user experience, depending on their interest.

Learn more about what software engineering is and why you should learn it.

What Can You Do with Software Engineering?

Our society continues to rely more heavily on computer-driven processes. Software Engineers are the brain power behind these processes and create the programs and applications we use daily. Software Engineers use programming languages to develop software programs and applications. Programming skills are sought after across fields and sectors, and you can do many cool things with this skill set! 

Low-level programming languages, such as assembly and machine language, can be used to create system software. System software is a general software that develops and runs other application software. A few examples of system software are operating systems, like Mac OS and Android, and video game systems, like the Nintendo system software, which allow video games to run.

You can also create application software using programming languages—software engineers design application software to carry out a specific function. For example, Spotify is an application software that allows you to listen to music or podcasts. Engineers use high-level programming languages like Java and Python to write application software.

Data Science 

We live in a data-driven world where large amounts of data are constantly generated. Companies need in-house professionals who can make sense of it all to inform business decisions. If you enjoy working with large amounts of data, you should pursue a career in data science.

Like software engineering, data science is an emerging field within computer science. Data Scientists make sense of large data sets through machine and deep learning data science tools to test software products and applications. Software Engineers often work with Data Scientists and use their insights to improve products.

Noble Desktop offers several comprehensive data science bootcamps and certificate programs, including the Data Science Certificate, Python for Data Science Bootcamp, and Python Data Science & Machine Learning Bootcamp.

Machine Learning and Algorithms 

Google Maps, Apple Maps, and Waze allow us to find the quickest routes to our destinations and plan trips. Developers use machine learning techniques and algorithms to generate predictive models of real-time traffic conditions that tell us the optimal path to take on trips.

Machine learning is an interdisciplinary field of computer science and artificial intelligence (AI). Machine Learning Engineers teach computers to analyze historical information and make logical decisions and predictions with little human interference. 

Machine learning is a growing field and a high-demand skill set across a wide array of industries. Many Software Engineers pivot to careers in machine learning and often work with Machine Learning Engineers and Data Scientists throughout their careers because of the large amounts of data used to inform software development and testing. 

If you’re interested in learning machine learning, you can build on your knowledge of Python, a programming language used in software engineering, machine learning, and data science. Enrolling in Noble Desktop’s Python Data Science & Machine Learning Bootcamp is a great way to learn the fundamental skills of machine learning techniques and jumpstart a career in this high-demand field.

Project Management 

Project management skills are essential in your toolbox for many careers, especially as you move up the career ladder. Management-level roles, such as Product Manager, Project Manager, or Software Development Manager, combine their technical knowledge, work experience, and leadership skills to lead software projects successfully. If you are interested in stepping into a management role in the future, you must develop your project management skill set. 

You can gain a comprehensive knowledge of project management methods and strategies by enrolling in Noble’s Project Management Bootcamp. Project Management Level 1 is also a great option if you're interested in a shorter introductory course.

Key Insights

• Software engineering is a field within computer science that focuses on developing software products and applications. 
• You can use software engineering skills to design video games, websites, system software, or application software. 
• Once you complete your computer science course, you should consider learning: 
• Data science tools
• Machine learning and algorithms 
• Project management skills
• Noble Desktop offers a comprehensive catalog of online and in-person courses in software engineering and related fields and skills. 

Conquer Software Engineering with Hands-on Training at Noble Desktop

Noble Desktop offers an assortment of Software Engineering classes that will teach you the skills needed to become a Software Engineer. You can join Noble’s courses in-person in Manhattan or virtually from the comfort of your home or office. These courses feature small class sizes led by expert instructors with experience in the field. In addition, Noble classes feature a free retake option that will allow you to retake a course within a year for no extra fees. 

If you want to be a more well-rounded web developer, consider enrolling in either the  Software Engineering Certificate or the Full-Stack Web Development Certificate. Both courses will prepare you to build both the front end and back end of websites. By the end of the Full-Stack Web Development Certificate, students can use programming languages, such as HTML & CSS, JavaScript, and React, to develop and build web applications. If you have a few extra weeks, the Software Engineering Certificate is more comprehensive and will teach you Python, a popular programming language for web development, data analysis, and automation. 

Noble’s Python Developer Certificate program is the perfect course for someone with a shorter-time frame looking to learn a highly used programming language. This certificate will take you from a beginner to an intermediate Python programmer in a few weeks. This course will prepare you for success as a Python Developer, Back End Developer, or Software Engineer. 

If you’re interested in working with data in your career, Noble Desktop’s Data Science Certificate is a good option for you. This immersive training will equip you with skills ranging from Python programming to machine learning models.