Channel your enthusiasm for information technology into practical experience with DSDT. The Associate of Applied Science program, specializing in Information Technology, immerses you in fundamental concepts and principles encompassing programming, data analytics, cybersecurity, and networking. Gain essential technical skills as a solid foundation for further development in the IT industry.
Your existing credits could accelerate your path to graduation and reduce your overall costs.
Your professional, personal, and academic experiences might provide you with an advantage as you pursue your degree.
$75 application fee
No SAT/ACT
No essay required
The Associate of Applied Science in Information Technology program at DSDT is designed to equip students with the foundational skills and knowledge required for successful careers in the ever-evolving field of information technology. This comprehensive program blends theoretical learning with practical application, ensuring that graduates are well-prepared to tackle the challenges and opportunities presented by modern technology landscapes.
To prepare students for post-program success by providing a rich learning environment utilizing research-based methods of instruction and providing access to relevant and current resources and materials. Students will participate in a challenging and worthwhile degree program based on current industry/academic expectations. The Associate of Applied Science in Information Technology Degree Program will provide students with a roadmap to gainful employment upon successful completion of 64 semester credit hours.
Please refer to the Student Handbook, located under the Admissions & Tuition tab, for grading policies.
Python, TensorFlow, Flask, Google Colab, Databricks, Jupyter Notebooks, Visual Studio Code, Github, Scikit-Learn, Matplotlib, Seaborn, Optuna, Pandas, Keras, Numpy, SQL, Kaggle, Google Sheets, CompTIA, Microsoft Office 365, Populi, Hack the Box Labs
4 Credit Hours: Theory 60 / Laboratory 0 / Externship 0
Prerequisite: None
The "Digital Literacy and Society" course is structured to provide students with a comprehensive understanding of the pervasive impact of digital technology on modern society. Beginning with an introduction to computer concepts, the course journeys through the multifaceted roles technology plays in our daily lives, emphasizing its significance in personal, professional, and civic domains. Students will explore the web's integral role, including e-commerce and online research, gain familiarity with computer hardware, operating systems, and file management to enhance productivity. The curriculum delves into the application and development of software and apps, underscoring the critical importance of security and safety in digital spaces. Modules on digital media, web development, and networking offer hands-on experiences in creating, managing, and connecting in the digital realm. The course also addresses contemporary topics such as cloud computing, e-commerce, artificial intelligence, and the vital role of databases in informed decision-making. Finally, students will engage with digital ethics, learning to navigate the digital world responsibly. Through lectures, interactive workshops, online research, and practical applications, students will develop a robust digital literacy foundation, preparing them for responsible participation and innovation in a technology-driven world.
4 Credit Hours: Theory 60 / Laboratory 0 / Externship 0
Prerequisite: None
The College Writing course is structured around The Essentials of Writing: Ten Core Concepts, designed to develop students' writing skills for academic, workplace, and personal contexts. This course emphasizes writing as a process of discovery, learning, and engagement with the world. Through exploring the ten core concepts for effective writing, students will enhance their ability to craft compelling, coherent, and contextually appropriate texts. The course includes practical applications of these concepts in various writing situations, from analytical writing to argument construction, and culminates in mastering research and citation practices, particularly MLA style.
4 Credit Hours: Theory 60 / Laboratory 0 / Externship 0
Prerequisite: None
This introductory psychology course explores the fascinating journey into the human mind, its functions, and its profound impact on behavior. Through a comprehensive curriculum that spans fourteen chapters, students will delve into the scientific study of psychology, examining both foundational concepts and applied aspects of the field. Starting with an exploration of psychology as a science, the course provides a solid foundation for understanding the methods and principles underlying psychological research.
4 Credit Hours: Theory 60 / Laboratory 0 / Externship 0
Prerequisite: None
This dynamic "College Mathematics: Algebra and Beyond" course is expertly crafted to guide post-secondary students through an exploration of algebraic concepts and their applications. Throughout the semester, learners will delve into the intricacies of real numbers, exponents, equations, and inequalities, culminating in an examination of sequences, series, and probability. This course emphasizes the development of analytical skills, critical thinking, and problem-solving abilities that are essential for academic and professional success in various fields.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
This Principles of Information Systems course is meticulously designed to equip learners with the fundamental skills and knowledge required for a successful career in IT support and operations. Over four weeks, students will engage in an intensive exploration of computer hardware, operating systems, networking, mobile devices, security, and troubleshooting techniques. The curriculum is divided into 21 modules, each focusing on critical aspects of IT support, from assembling and disassembling computers to securing and troubleshooting networks and devices.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
The Networking Infrastructure course is designed to provide students with a thorough understanding of networking concepts and practices. Over the course of four weeks, participants will learn the fundamentals of network design, implementation, management, and security. The curriculum is structured to address the skills necessary for a networking professional, ensuring that students gain practical knowledge through virtual labs and hands-on exercises. The program concludes with a final exam to equip students for the official CompTIA Network+ certification exam.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
The Information Security course is an expertly structured program aimed at equipping students with a thorough understanding of organizational security. Covering fundamental concepts through advanced security protocols, the curriculum is segmented into five pivotal parts, encompassing the essentials of security fundamentals, endpoint security, cryptography, network security, and enterprise security.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
This Cyber Security course prepares students to become proficient cybersecurity analysts, focusing on applying behavioral analytics to networks and devices to prevent, detect, and combat cybersecurity threats through continuous security monitoring. The course is divided into five comprehensive parts covering a broad spectrum of cybersecurity concepts from identifying vulnerabilities to incident response and compliance.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
The Ethical Hacking Course at DSDT is tailored for IT professionals seeking to become proficient in penetration testing and vulnerability assessment. This course is ideal for those with some background in cybersecurity who aim to specialize in ethical hacking.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
The Linux Operating System Principles course offers a comprehensive dive into the world of Linux, a powerful open-source operating system that powers a significant portion of the internet, corporate servers, and personal devices alike. Designed for both beginners and those with prior Linux experience, this course takes students on a journey through Linux's architecture, system operations, and management tasks.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
The Cloud System Infrastructure Course at DSDT is designed to provide students with the essential knowledge and skills required to excel in cloud computing environments. This course is suitable for IT professionals who are looking to specialize in cloud technologies and services.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
This course is designed to equip students with the knowledge and skills necessary to manage information technology projects effectively. Covering foundational concepts to advanced practices, the curriculum integrates principles from the Project Management Institute (PMI) with specific challenges and opportunities found in IT project management. Through lectures, case studies, discussions, and hands-on activities, students will learn to navigate the complexities of managing IT projects, from inception through completion.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
The Python Programming 1 Course at DSDT is designed for individuals interested in starting their journey in software development. This course offers a deep dive into Python programming fundamentals, covering topics from basic syntax and data structures to more complex concepts such as functions, modules, and file operations. Through a blend of lectures, simulation labs, and real-world scenarios, students will develop proficiency in writing Python code for various applications.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
Python Programming II at DSDT advances the skills acquired in Python 1, focusing on intermediate to advanced programming techniques. Students will explore object-oriented programming, web development with Python frameworks, and an introduction to data manipulation and analysis. The course combines theoretical knowledge with practical application, preparing students for professional programming tasks and projects.
Required Textbook
Learn Python Programming
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4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
This comprehensive course is designed to provide students with the knowledge and skills required to become proficient web developers. Throughout the 17-week course, students will learn how to design, develop, and deploy dynamic and responsive web applications using a variety of modern web technologies and frameworks.
Required Textbook
Learning Web Design A Beginner's Guide to HTML, CSS, JavaScript, and Web Images 6th Edition
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4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
Elective
Embark on the first step of a transformative journey into the realm of artificial intelligence with "AI Fundamentals," a course meticulously crafted for post-secondary students at the dawn of their AI exploration. Over the span of four weeks, students will immerse themselves in the multifaceted world of AI, starting from the ground up by understanding what AI is, its myriad applications, and the types of problems it can solve. This course serves as the cornerstone of a larger AI Certification Program, setting the stage for a deep and comprehensive understanding of the field. Students will learn to identify viable AI projects, articulate clear goals, and establish success metrics, ensuring a solid foundation for any AI endeavor they undertake.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
Elective
Dive into the foundational elements of AI with "Introduction to Data Science and AI," a comprehensive course tailored for post-secondary students at the outset of their tech careers. Over a focused four-week period, students will embark on a journey through the essential processes that form the backbone of artificial intelligence. The course kicks off with an exploration of data collection methods, equipping students with the knowledge to discern when to harness existing datasets and when to pioneer new ones. As the course progresses, learners will delve into the meticulous assessment of data quality, grappling with real-world challenges such as missing information and corrupt data. With hands-on activities and interactive workshops, students will not only learn the theory but also apply it, developing the critical skills necessary to ensure data integrity and reliability.
4 Credit Hours: Theory 45 / Laboratory 30 / Externship 0
Prerequisite: None
Elective
The "Machine Learning & AI Essentials" course is designed to introduce post-secondary students to the foundational concepts, algorithms, and tools used in machine learning (ML) and artificial intelligence (AI). This course covers the spectrum from understanding data and its importance in AI, through various machine learning models, to deploying AI solutions in real-world applications. Through a blend of theoretical knowledge and hands-on practice, students will learn to design, implement, and assess ML models to solve diverse problems.
Required Textbook
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
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A basic understanding of technology is recommended, but no prior experience is needed to enroll.
Personal Computer with stable access to internet (highly recommended)
8-16GB USB Flash Drive or Portable USB or FireWire Hard Drive and Dropbox account (Highly recommended)
Notebook and/or sketch book
Check out our schedule to find available class times that fit your routine. Your academic counselor will assist you in planning your courses for the Associate of Applied Science degree with a concentration in Information Technology program.
The estimated total cost of attending school for a specific period, including tuition, fees, housing, food, books, transportation, and other related expenses.
Any class session or activity missed, regardless of cause, reduces the opportunity for learning and may adversely affect a student’s achievement. Students are responsible for class attendance and for any class work missed during an absence. Student is responsible to catch up on the missing material on his own by contacting fellow classmates or instructor.
Explore the potential career paths enabled by your degree and make well-informed decisions about your future.
Embarking on your degree is a significant decision, and we aim to streamline your application process by removing any obstacles.
DSDT is accredited by the Commission of the Council on Occupational Education.
