At New Vision Career Technology, we invite you to be part of the digital revolution that is transforming the world. Our Computer Science program equips you with world-class tech skills and an innovative perspective, blending cutting-edge theoretical knowledge with intensive hands-on experience through our groundbreaking hybrid model.
Master the Era of Digital Intelligence
The technological revolution is here: artificial intelligence, machine learning, blockchain, cloud computing, and software development have made computer science the most in-demand profession of the 21st century. This program strategically positions you in a rapidly growing job market, with unlimited opportunities in:
- Software Development: Web and mobile apps, enterprise systems, and digital platforms
- Artificial Intelligence: Machine learning, deep learning, natural language processing, and computer vision
- Cybersecurity: Data protection, ethical hacking, cryptography, and network security
- Data Science: Big data, predictive analytics, business intelligence, and data visualization
- Emerging Technologies: Blockchain, IoT, virtual reality, quantum computing, and automation
- Tech Entrepreneurship: Tech startups, digital products, and specialized consulting
- Global Market: International remote work, global projects, and multinational collaboration
Academic Excellence and Technological Innovation
Join a pioneering educational community that integrates international academic rigor, cutting-edge technologies, and innovative learning methodologies. At New Vision Career Technology, you’ll develop not only technical mastery, but also skills in algorithmic thinking, complex problem-solving, and tech leadership, preparing you to lead the digital industry with innovation, professional ethics, and operational excellence.
Your High-Impact Tech Career Starts Today
Become part of the new generation of computer scientists leading the global digital transformation toward intelligent, secure, and highly efficient systems. With our hybrid approach, you’ll gain access to specialized computer labs, high-performance servers, advanced development platforms, and a global network of opportunities that will launch your career toward international success and technological innovation.
Turn your passion for technology into a career with global impact!
New Vision Career Technology – Where computational innovation meets the future
The Computer Science program aims to train professionals with a deep understanding of the theoretical and practical foundations of computing, capable of designing, developing, implementing, and managing complex software and hardware systems. Graduates will apply scientific and engineering principles to solve innovative computational problems, contributing to technological advancement and digital transformation across various sectors globally.
Fundamental Computing Competencies
Develop a comprehensive mastery of the mathematical, algorithmic, and architectural principles that govern modern computational systems, enabling students to:
- Understand and apply principles of algorithms, data structures, and computational complexity.
- Master advanced programming languages and software development paradigms.
- Interpret hardware architectures, operating systems, and computer networks.
- Manage databases, distributed systems, and cloud computing.
- Apply principles of software design, agile methodologies, and technological project management.
Software Development and Intelligent Systems
Train versatile professionals in creating software solutions and implementing artificial intelligence, developing capabilities to:
- Design and develop robust and scalable web, mobile, and desktop applications.
- Intervene in machine learning and deep learning systems.
- Maintain artificial intelligence (AI) and natural language processing (NLP) systems.
- Work with AI and Big Data development frameworks and libraries such as TensorFlow, PyTorch, Apache Spark, etc.
- Execute computer vision and computational robotics projects.
Advanced Computational Problem Analysis and Resolution
Train in state-of-the-art analysis and problem-solving methodologies within the field of computer science, allowing professionals to:
- Utilize performance analysis, debugging, and code optimization tools.
- Identify and correct faults in large-scale software and hardware systems.
- Apply cryptography, cybersecurity, and data protection techniques in system design.
- Evaluate the efficiency and scalability of algorithms and software architectures.
- Document system designs, technical solutions, and research projects with professional standards.
Emerging Technologies and the Future of Computing
Integrate cutting-edge technological knowledge and innovative vision, preparing professionals capable of:
- Implement quantum and post-quantum computing technologies.
- Work with decentralized systems and blockchain.
- Repair and optimize high-performance computing (HPC) and supercomputing infrastructures.
- Apply bioinformatics and genomic computing techniques.
- Comply with ethical regulations and social responsibility protocols in technological development.
Professional Skills and Technological Leadership
Develop cross-cutting competencies that enhance comprehensive professional development and leadership:
- Effective technical communication with multidisciplinary teams and stakeholders.
- Management of software projects and administration of development teams.
- Leadership of research and development (R&D) initiatives in computer science.
- Entrepreneurship and business development in the information technology sector.
- Continuous updating on new technologies, methodologies, and global certifications.
Social and Professional Impact
Upon completing their training, our graduates will be prepared to contribute significantly to the advancement of science and technology, designing solutions that positively impact society, improve process efficiency, and drive innovation. They will position themselves as technical and research leaders in the technology industry at national and international levels, with the capacity to lead the transition towards an era of intelligent, secure, and sustainable computing.
of 3,440 academic hours distributed in theoretical training, laboratory practice and experience in real projects. Each course is designed with optimal duration between 90 and 120 hours to guarantee conceptual depth and practical mastery required by the international technology industry.
FIRST ACADEMIC YEAR
First Quarter - Mathematical and Computational Foundations (410 hours)
- A100-AMC-100 Mathematics for Computer Science - 110 hours - Modality:
Remote
Linear algebra, differential and integral calculus, discrete mathematics, set theory, propositional logic - A100-PFP-200 Fundamental Programming with Python - 100 hours - Modality:
Hybrid
Python syntax, basic data structures, flow control, functions, file handling, debugging - A100-ICS-300 Introduction to Computer Science - 90 hours - Modality:
In-person
History of computing, computational thinking, basic algorithms, data representation, ethics in technology - A100-CSA-400 Computer Architecture - 110 hours - Modality: Hybrid
Digital systems, CPU, memory, storage, data buses, basic operating systems
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Second Quarter - Programming and Data Structures (430 hours)
- B100-OOP-500 Object-Oriented Programming - 110 hours - Modality:
Hybrid
Classes, objects, inheritance, polymorphism, encapsulation, abstraction, basic design patterns - B100-DSA-600 Data Structures and Algorithms - 120 hours - Modality:
In-person
Arrays, linked lists, stacks, queues, trees, graphs, sorting and searching algorithms - B100-JAV-700 Java Programming - 100 hours - Modality: Hybrid
Java syntax, exception handling, collections, concurrent programming, application development - B100-DBF-800 Database Fundamentals - 100 hours - Modality: Hybrid
Relational model, SQL, database design, normalization, transactions, data integrity
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Third Quarter - Web Development and Systems (440 hours)
- C200-WFE-900 Frontend Web Development - 110 hours - Modality:
Hybrid
HTML5, CSS3, JavaScript ES6+, DOM manipulation, responsive design, modern frameworks - C200-WBE-1000 Backend Web Development - 110 hours - Modality:
Hybrid
Node.js, Express.js, REST APIs, authentication, middleware, database integration - C200-OSS-1100 Operating Systems - 110 hours - Modality: In-person
Processes, threads, virtual memory, file systems, concurrency, synchronization - C200-NET-1200 Networks and Communications - 110 hours - Modality:
Hybrid
TCP/IP protocols, HTTP/HTTPS, DNS, routing, switching, basic network security
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Fourth Quarter - Frameworks and Methodologies (425 hours)
- D300-REA-1300 React.js Development - 105 hours - Modality: Hybrid
Components, state management, hooks, routing, Redux, testing, deployment - D300-SEN-1400 Software Engineering - 110 hours - Modality: Hybrid
Agile methodologies, SCRUM, Git, version control, testing, documentation, software lifecycle - D300-MOB-1500 Mobile Development - 110 hours - Modality:
In-person
React Native, Flutter, native iOS/Android development, mobile UI/UX, store publishing - D300-CLD-1600 Cloud Computing - 100 hours - Modality: Hybrid
AWS, Azure, Docker, Kubernetes, microservices, serverless, basic DevOps
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SECOND ACADEMIC YEAR
Fifth Quarter - Artificial Intelligence and Machine Learning (450 hours)
- E400-AIB-1700 Artificial Intelligence Fundamentals - 110 hours -
Modality: Hybrid
Search algorithms, intelligent agents, expert systems, fuzzy logic, natural language processing - E400-MLI-1800 Intermediate Machine Learning - 120 hours - Modality:
In-person
Supervised/unsupervised learning, regression, classification, clustering, basic neural networks - E400-DLT-1900 Deep Learning and TensorFlow - 110 hours - Modality:
Hybrid
Deep neural networks, CNN, RNN, PyTorch, TensorFlow, image processing - E400-DSC-2000 Data Science - 110 hours - Modality: Hybrid
Pandas, NumPy, statistical analysis, data visualization, big data, predictive analytics
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Sixth Quarter - Cybersecurity and Advanced Systems (445 hours)
- F500-CYB-2100 Fundamental Cybersecurity - 115 hours - Modality:
In-person
Cryptography, ethical hacking, penetration testing, vulnerabilities, digital forensic analysis - F500-BLC-2200 Blockchain and Cryptocurrencies - 100 hours - Modality:
Hybrid
Blockchain technology, smart contracts, Ethereum, Solidity, DeFi, NFTs - F500-ADT-2300 Advanced Algorithms - 110 hours - Modality:
In-person
Dynamic programming, greedy algorithms, advanced graph theory, computational complexity - F500-DST-2400 Distributed Systems - 120 hours - Modality: Hybrid
Distributed architectures, consistency, fault tolerance, peer-to-peer systems, consensus algorithms
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Seventh Quarter - Emerging Technologies and Specialization (460 hours)
- G600-IOT-2500 Internet of Things (IoT) - 110 hours - Modality:
Hybrid
Sensors, actuators, IoT protocols, Arduino, Raspberry Pi, edge computing, wireless connectivity - G600-GAM-2600 Video Game Development - 110 hours - Modality:
In-person
Unity, Unreal Engine, game programming, game physics, AI for games, monetization - G600-VRA-2700 Virtual and Augmented Reality - 110 hours - Modality:
Hybrid
Oculus, HoloLens, VR/AR development, 3D programming, immersive interfaces, industrial applications - G600-QUA-2800 Quantum Computing - 100 hours - Modality: Hybrid
Quantum principles, qubits, quantum algorithms, IBM Quantum, future applications - G600-CVN-2900 Computer Vision - 110 hours - Modality: In-person
OpenCV, image processing, facial recognition, object detection, medical applications
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Eighth Quarter - Projects and Entrepreneurship (450 hours)
- H700-CAP-3000 Capstone Project - 150 hours - Modality: In-person
Development of comprehensive project applying all acquired competencies, multidisciplinary teamwork - H700-ENT-3100 Technology Entrepreneurship - 100 hours - Modality:
Remote
Tech business models, pitch deck, funding, startup methodology, intellectual property, market research - H700-ETH-3200 Ethics in Technology - 90 hours - Modality: Hybrid
Privacy, AI bias, digital sustainability, social responsibility, technological impact - H700-PIM-3300 IT Project Management - 110 hours - Modality:
Hybrid
Advanced agile methodologies, Lean, Kanban, remote team management, productivity tools
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Cross-curricular Courses (Developed throughout the program)
- I700-ENG-3400 Technical English for IT - 80 distributed hours
Technical terminology, documentation in English, global communication, technical presentations - I700-COM-3500 Communication and Teamwork - 60 distributed hours
Soft skills, technical leadership, presentations, negotiation, conflict resolution - I700-SEC-3600 Digital Security and Privacy - 50 distributed hours
GDPR, compliance, data protection, security audits, corporate policies - I700-INN-3700 Innovation and Technology Trends - 70 distributed
hours
Emerging tech, research methods, patents, technological forecasting, disruptive innovation
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Intensive Practical Experience
- J700-LAB-3800 Specialized Laboratories - 300 distributed hours
Practices in high-performance computing laboratories, cloud servers, specialized equipment - J700-INT-3900 Technology Internship - 240 hours - Quarters 7-8
Real experience in technology companies, startups, or IT departments of corporations - J700-OSS-4000 Open Source Contribution - 100 distributed hours
Participation in open source projects, GitHub contributions, global collaboration
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Academic Summary
Total duration: 24 months (8 quarters)
Total academic hours: 3,900 hours
Theoretical hours: 2,300 hours (59%)
Practical hours: 1,600 hours (41%)
Remote modality: 25% of the program
In-person modality: 50% of the program
Hybrid modality: 25% of the program
Academic Load Distribution by Quarter
- Quarter 1: 410 hours (solid foundations)
- Quarter 2: 430 hours (intensive programming)
- Quarter 3: 440 hours (complete web development)
- Quarter 4: 425 hours (modern frameworks)
- Quarter 5: 450 hours (intensive AI and ML)
- Quarter 6: 445 hours (advanced cybersecurity)
- Quarter 7: 460 hours (maximum load - emerging technologies)
- Quarter 8: 450 hours (projects and specialization)
Additional Certifications Available
During the program, students will be able to obtain international certifications recognized by the industry, including AWS Certified Solutions Architect, Google Cloud Professional, Microsoft Azure, Oracle Certified Professional, Certified Ethical Hacker (CEH), CompTIA Security+, Cisco CCNA, PMI-ACP, Scrum Master, and specific certifications in technologies such as TensorFlow, Docker, Kubernetes, significantly enhancing their employability and professional recognition at a global level.
Applicant Profile
New Vision Career Technology seeks candidates with a passion for technology, logical-analytical thinking, and a commitment to digital innovation. The ideal applicant demonstrates curiosity for computational systems, complex problem-solving skills, basic programming abilities, and a vision for professional growth in the technology and software development sector.
Academic Requirements
To ensure the academic and professional success of our students, we establish the following prior education requirements:
- Certificate of complete secondary education or equivalent recognized with an emphasis on exact sciences
- Solid knowledge of mathematics (algebra, trigonometry, and basic calculus)
- Fundamental understanding of mathematical logic and algorithmic thinking
- Advanced written communication and reading comprehension skills
- Ability to follow complex procedures and structured methodologies
- Basic knowledge of technical English (intermediate level recommended)
Required Documentation
Applicants must submit the following official documentation to complete their admission process:
- Duly completed and signed admission application
- Official secondary education or high school certificate
- Academic transcript with detailed grades (emphasis on mathematics and sciences)
- Valid identification document (ID card or passport)
- Medical certificate proving fitness for prolonged computer work
- Two recent passport-sized photographs
- Motivation letter expressing interest in the technology career
- Portfolio of previous projects (optional but recommended)
International Documentation
For international students, additional documentation is required, duly apostilled or legalized:
- Academic certificates translated by an official translator
- Validation of studies by local educational authorities
- Certificate of Spanish language proficiency (minimum B2 level)
- Technical English certificate (minimum recommended B1 level)
- Student visa or corresponding migratory documentation
- Valid international health insurance for the period of study
Admission Evaluation
The selection process includes multiple components to comprehensively evaluate each candidate:
- Basic knowledge exam in mathematics and computational logic
- Logical reasoning and basic programming skills test
- Personal interview with academic coordinators and specialized faculty
- Evaluation of algorithmic problem-solving skills
- Vocational guidance and technology motivation test
- Evaluation of technical English competencies
Technical Requirements for Hybrid Modality
Given our hybrid educational approach and the technological nature of the program, students must have specific technological resources:
- Computer or laptop with a minimum Intel i5 processor or equivalent AMD
- Minimum 8GB RAM and 256GB SSD storage
- Stable broadband internet connection (minimum 25 Mbps)
- HD webcam and quality microphone for interactive virtual classes
- Up-to-date development software and programming tools
- Ergonomic workspace for software development
- Additional monitor recommended for increased productivity
Financial Requirements
To ensure the commitment and sustainability of the training process, we establish the following conditions:
- Payment of initial tuition or approved financing plan
- Proof of economic solvency or credit endorsement
- Student insurance covering practical activities and projects
- Budget for specialized software and development licenses
- Resources for lab expenses, servers, and project hosting
- Investment in complementary technological certifications
Application Process
Admission follows a structured timeline that ensures fair and timely evaluation of all candidates:
- Submission of documents: 45 days before the start of the academic period
- Academic and technical evaluations: 20 days before classes start
- Personal interviews and project evaluation: 15 days before the start of the period
- Notification of results: 7 days before classes start
- Enrollment confirmation and technical setup: 48 hours before the academic start
Institutional Commitment
New Vision Career Technology is committed to providing equitable opportunities for access to cutting-edge technological education, offering academic merit scholarship programs, socioeconomic aid, flexible financing plans, and access to state-of-the-art technology for students who demonstrate exceptional potential and genuine commitment to their professional development in the field of computer science and information technologies.